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---
layout: default
title: Accepted Papers
hide: false
navigation_weight: 11
---
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<div class="contents">
<h1>AISTATS 2018 Accepted Papers</h1>
<p>The accepted papers can be found in the below table sorted in increasing order of Paper ID.</p>
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<table class="tg">
<tr>
<th class="tg-9hbo">Paper ID</th>
<th class="tg-9hbo">Paper Title</th>
<th class="tg-9hbo">Author Names</th>
</tr>
<tr>
<td class="tg-baqh">2</td>
<td class="tg-jogk">The Geometry of Random Features</td>
<td class="tg-jogk">Krzysztof Choromanski, ; Mark Rowland, University of Cambridge ; Tamas Sarlos, Google Research; Vikas Sindhwani, Google Brain Robotics; Richard Turner, Cambridge; Adrian Weller*, University of Cambridge</td>
</tr>
<tr>
<td class="tg-baqh">4</td>
<td class="tg-jogk">Gauged Mini-Bucket Elimination for Approximate Inference</td>
<td class="tg-jogk">Sungsoo Ahn, KAIST; Michael Chertkov, Los Alamos National Laborator; Jinwoo Shin, KAIST; Adrian Weller*, University of Cambridge</td>
</tr>
<tr>
<td class="tg-baqh">8</td>
<td class="tg-jogk">A Fast Algorithm for Separated Sparsity via Perturbed Lagrangians</td>
<td class="tg-jogk">Aleksander Madry, MIT; Slobodan Mitrovic*, EPFL; Ludwig Schmidt, MIT</td>
</tr>
<tr>
<td class="tg-baqh">10</td>
<td class="tg-jogk">An Analysis of Categorical Distributional Reinforcement Learning</td>
<td class="tg-jogk">Mark Rowland*, University of Cambridge ; Marc Bellemare, Google Brain; Will Dabney, DeepMind; Remi Munos, DeepMind; Yee Whye Teh, Oxford and DeepMind</td>
</tr>
<tr>
<td class="tg-baqh">16</td>
<td class="tg-jogk">Combinatorial Preconditioners for Proximal Algorithms on Graphs</td>
<td class="tg-jogk">Thomas Möllenhoff*, TU Munich; Zhenzhang Ye, ; Tao Wu, ; Daniel Cremers, </td>
</tr>
<tr>
<td class="tg-baqh">22</td>
<td class="tg-jogk">Growth-Optimal Portfolio Selection under CVaR Constraints</td>
<td class="tg-jogk">Guy Uziel*, Technion; Ran El-Yaniv, Technion</td>
</tr>
<tr>
<td class="tg-baqh">26</td>
<td class="tg-jogk">Accelerated Stochastic Power Iteration</td>
<td class="tg-jogk">Christopher De Sa, Cornell University; Bryan He, Stanford University; Ioannis Mitliagkas, Université de Montréal; Chris Re, Stanford University; Peng Xu*, Stanford University</td>
</tr>
<tr>
<td class="tg-baqh">27</td>
<td class="tg-jogk">Multi-scale Nystrom Method</td>
<td class="tg-jogk">Woosang Lim, Georgia Tech; Rundong Du, Georgia Tech; Bo Dai, Geogia Tech; Kyomin Jung, Seoul National University; Le Song, Georgia Tech; Haesun Park*, Georgia Tech</td>
</tr>
<tr>
<td class="tg-baqh">30</td>
<td class="tg-jogk">Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach</td>
<td class="tg-jogk">Satoshi Hara*, Osaka University; Kohei Hayashi, </td>
</tr>
<tr>
<td class="tg-baqh">32</td>
<td class="tg-jogk">Mixed Membership Word Embeddings for Computational Social Science</td>
<td class="tg-jogk">James Foulds*, UMBC</td>
</tr>
<tr>
<td class="tg-baqh">35</td>
<td class="tg-jogk">Fast Threshold Tests for Detecting Discrimination</td>
<td class="tg-jogk">Emma Pierson*, Stanford University; Sam Corbett-Davies, Stanford University; Sharad Goel, </td>
</tr>
<tr>
<td class="tg-baqh">40</td>
<td class="tg-jogk">Iterative Supervised Principal Components</td>
<td class="tg-jogk">Juho Piironen*, Aalto University; Aki Vehtari, Aalto</td>
</tr>
<tr>
<td class="tg-baqh">42</td>
<td class="tg-jogk">Iterative Spectral Method for Alternative Clustering</td>
<td class="tg-jogk">Chieh Wu*, Northeastern University; Stratis Ioannidis, NEU; Mario Sznaier, Northeastern University; Xiangyu Li, Northeastern University; David Kaeli, Northeastern University; Jennifer Dy, North Eastern</td>
</tr>
<tr>
<td class="tg-baqh">45</td>
<td class="tg-jogk">Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means</td>
<td class="tg-jogk">Dennis Forster*, University of Oldenburg; Jörg Lücke, University of Oldenburg</td>
</tr>
<tr>
<td class="tg-baqh">48</td>
<td class="tg-jogk">Parallelised Bayesian Optimisation via Thompson Sampling</td>
<td class="tg-jogk">Kirthevasan Kandasamy*, ; Akshay Krishnamurthy, U-Mass Amherst; Jeff Schneider, CMU; Barnabas Poczos, Carnegie Mellon University</td>
</tr>
<tr>
<td class="tg-baqh">49</td>
<td class="tg-jogk">On the challenges of learning with inference networks on sparse, high-dimensional data</td>
<td class="tg-jogk">Rahul Krishnan*, MIT; Dawen Liang, Netflix; Matthew Hoffman, Google; Matthew Hoffman, Google; Dawen Liang, Netflix</td>
</tr>
<tr>
<td class="tg-baqh">54</td>
<td class="tg-jogk">Post Selection Inference with Kernels</td>
<td class="tg-jogk">Makoto Yamada*, RIKEN; Yuta Umezu, ; Kenji Fukumizu, ; Ichiro Takeuchi, </td>
</tr>
<tr>
<td class="tg-baqh">55</td>
<td class="tg-jogk">On how complexity effects the stability of a predictor</td>
<td class="tg-jogk">Joel Ratsaby*, Ariel University</td>
</tr>
<tr>
<td class="tg-baqh">56</td>
<td class="tg-jogk">On the Truly Block Eigensolvers via First-Order Riemannian Optimization</td>
<td class="tg-jogk">Zhiqiang Xu*, KAUST; Xin Gao, </td>
</tr>
<tr>
<td class="tg-baqh">59</td>
<td class="tg-jogk">Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond</td>
<td class="tg-jogk">Heng Guo*, University of Edinburgh; Kaan Kara, ETH Zurich; Ce Zhang, ETH Zurich</td>
</tr>
<tr>
<td class="tg-baqh">60</td>
<td class="tg-jogk">IHT dies hard: Provable accelerated Iterative Hard Thresholding</td>
<td class="tg-jogk">Rajiv Khanna, UT Austin; Anastasios Kyrillidis*, IBM T.J. Watson Research Cente</td>
</tr>
<tr>
<td class="tg-baqh">65</td>
<td class="tg-jogk">Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction</td>
<td class="tg-jogk">Jinshan ZENG*, Hongkong University of Science and Technology; Ke Ma, (IIE, CAS; Yuan Yao, Hongkong University of Science and Techonology</td>
</tr>
<tr>
<td class="tg-baqh">66</td>
<td class="tg-jogk">Outlier Detection and Robust Estimation in Nonparametric Regression</td>
<td class="tg-jogk">Dehan Kong, Univ. of Toronto; Howard Bondell, North Carolina State University; Weining Shen*, UC Irvine</td>
</tr>
<tr>
<td class="tg-baqh">68</td>
<td class="tg-jogk">Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis</td>
<td class="tg-jogk">Luca Ambrogioni*, Radboud University; Eric Maris, Radboud University</td>
</tr>
<tr>
<td class="tg-baqh">72</td>
<td class="tg-jogk">AdaGeo: Adaptive Geometric Learning for Optimization and Sampling</td>
<td class="tg-jogk">Gabriele Abbati*, University of Oxford; Alessandra Tosi, Mind Foundry, Oxford; Seth Flaxman, Imperial College London; Michael Osborne, Oxford</td>
</tr>
<tr>
<td class="tg-baqh">74</td>
<td class="tg-jogk">Online Learning with Non-Convex Losses and Non-Stationary Regret</td>
<td class="tg-jogk">Xiaobo Li*, University of Minnesota; Xiang Gao, University of Minnesota; Shuzhong Zhang, University of Minnesota</td>
</tr>
<tr>
<td class="tg-baqh">75</td>
<td class="tg-jogk">Learning Determinantal Point Processes in Sublinear Time</td>
<td class="tg-jogk">Christophe Dupuy*, INRIA; Francis Bach, INRIA - ENS</td>
</tr>
<tr>
<td class="tg-baqh">76</td>
<td class="tg-jogk">Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding</td>
<td class="tg-jogk">Kaiqing Zhang, University of Illinois at Urba; Zhuoran Yang*, Princeton University</td>
</tr>
<tr>
<td class="tg-baqh">77</td>
<td class="tg-jogk">Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis</td>
<td class="tg-jogk">Hiroyuki Kasai*, UEC; Hiroyuki Sato, Kyoto University; Bamdev Mishra, Amazon</td>
</tr>
<tr>
<td class="tg-baqh">78</td>
<td class="tg-jogk">Online Boosting Algorithms for Multi-label Ranking</td>
<td class="tg-jogk">Young Hun Jung*, Universith of Michigan; Ambuj Tewari, Universith of Michigan</td>
</tr>
<tr>
<td class="tg-baqh">80</td>
<td class="tg-jogk">Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications</td>
<td class="tg-jogk">Sijia Liu*, University of Michigan; Jie Chen, ; Pin-Yu Chen, ; Alfred Hero, </td>
</tr>
<tr>
<td class="tg-baqh">86</td>
<td class="tg-jogk">High-dimensional Bayesian optimization via additive models with overlapping groups</td>
<td class="tg-jogk">Paul Rolland*, EPFL, LIONS; Jonathan Scarlett, ; Ilija Bogunovic, ; Volkan Cevher, EPFL</td>
</tr>
<tr>
<td class="tg-baqh">89</td>
<td class="tg-jogk">Robust Active Label Correction</td>
<td class="tg-jogk">Jan Kremer, University of Copenhagen; Fei Sha, UCLA; Christian Igel*, University of Copenhagen</td>
</tr>
<tr>
<td class="tg-baqh">90</td>
<td class="tg-jogk">Factorial HMM with Collapsed Gibbs Sampling for optimizing long-term HIV Therapy</td>
<td class="tg-jogk">Amit Gruber*, IBM Research; Chen Yanover, IBM Research; Tal El-Hay, IBM Research; Yaara Goldschmidt, IBM Research; Anders Sönnerborg, Karolinska Institute, Karolinska University Hospital; Vanni Borghi, Modena University Hospital; Francesca Incardona, EuResist Network GEIE, InformaPro S.r.l.</td>
</tr>
<tr>
<td class="tg-baqh">91</td>
<td class="tg-jogk">Optimal Submodular Extensions for Marginal Estimation</td>
<td class="tg-jogk">Pankaj Pansari*, University of Oxford; Chris Russell, The Alan Turing Institute; M. Pawan Kumar, University of Oxford</td>
</tr>
<tr>
<td class="tg-baqh">92</td>
<td class="tg-jogk">Semi-Supervised Learning with Competitive Infection Models</td>
<td class="tg-jogk">Nir Rosenfeld*, Harvard University; Amir Globerson, Tel Aviv University</td>
</tr>
<tr>
<td class="tg-baqh">94</td>
<td class="tg-jogk">Discriminative Learning of Prediction Intervals</td>
<td class="tg-jogk">Nir Rosenfeld*, Harvard University; Yishay Mansour, Tel Aviv University; Elad Yom Tov, Microsoft Research</td>
</tr>
<tr>
<td class="tg-baqh">95</td>
<td class="tg-jogk">Topic Compositional Neural Language Model</td>
<td class="tg-jogk">Wenlin Wang*, Duke University; Zhe Gan, Duke University; Wenqi Wang, Purdue University; Dinghan Shen, Duke University; Jiaji Huang, Baidu Silicon Valley Artificial Intelligence Lab; Wei Ping, Baidu Silicon Valley Artificial Intelligence Lab; Sanjeev Satheesh, Baidu Silicon Valley Artificial Intelligence Lab; Lawrence Carin, Duke</td>
</tr>
<tr>
<td class="tg-baqh">97</td>
<td class="tg-jogk">Learning Priors for Invariance</td>
<td class="tg-jogk">Eric Nalisnick*, UC Irvine; Padhraic Smyth, University of California, Irvine</td>
</tr>
<tr>
<td class="tg-baqh">98</td>
<td class="tg-jogk">Optimal Cooperative Inference</td>
<td class="tg-jogk">Scott Cheng-Hsin Yang*, Rutgers University--Newark; Yue Yu, Rutgers University--Newark; arash Givchi, Rutgers University--Newark; Pei Wang, Rutgers University--Newark; wai Keen Vong, Rutgers University--Newark; Patrick Shafto, Rutgers University--Newark</td>
</tr>
<tr>
<td class="tg-baqh">102</td>
<td class="tg-jogk">Stochastic Multi-armed Bandits in Constant Space</td>
<td class="tg-jogk">David Liau, UT-Austin; Zhao Song, UT-Austin; Eric Price, UT-Austin; Ger Yang*, UT-Austin</td>
</tr>
<tr>
<td class="tg-baqh">109</td>
<td class="tg-jogk">Matrix completability analysis via graph k-connectivity</td>
<td class="tg-jogk">Dehua Cheng*, Univ. of Southern California; Natali Ruchansky, ; Yan Liu, University of Southern California</td>
</tr>
<tr>
<td class="tg-baqh">112</td>
<td class="tg-jogk">FLAG n’ FLARE: Fast Linearly-Coupled Adaptive Gradient Methods</td>
<td class="tg-jogk">Xiang Cheng, UC Berkeley; Fred Roosta*, University of Queensland; Stefan Palombo, UC Berkeley; Peter Bartlett, UC Berkeley; Michael Mahoney, UC Berkeley</td>
</tr>
<tr>
<td class="tg-baqh">113</td>
<td class="tg-jogk">Multi-view Metric Learning in Vector-valued Kernel Spaces</td>
<td class="tg-jogk">Riikka Huusari*, Aix-Marseille Université; Hachem Kadri, Aix-Marseille University; Cécile Capponi, </td>
</tr>
<tr>
<td class="tg-baqh">115</td>
<td class="tg-jogk">Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data</td>
<td class="tg-jogk">William Herlands*, Carnegie Mellon University; Edward McFowland, ; Andrew Wilson, Cornell University; Daniel Neill, </td>
</tr>
<tr>
<td class="tg-baqh">117</td>
<td class="tg-jogk">Dropout as a Low-Rank Regularizer for Matrix Factorization</td>
<td class="tg-jogk">Jacopo Cavazza*, Istituto Italiano di Tecnologi; Pietro Morerio, Istituto Italiano di Tecnologia; Benjamin Haeffele, Johns Hopkins University; Connor Lane, Johns Hopkins University; Vittorio Murino, Istituto Italiano di Tecnologia; Rene Vidal, Johns Hopkins University</td>
</tr>
<tr>
<td class="tg-baqh">119</td>
<td class="tg-jogk">A Simple Analysis for Exp-concave Empirical Minimization with Arbitrary Convex Regularizer</td>
<td class="tg-jogk">Tianbao Yang*, University of Iowa; Zhe Li, ; Lijun Zhang, Nanjing University</td>
</tr>
<tr>
<td class="tg-baqh">120</td>
<td class="tg-jogk">Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables</td>
<td class="tg-jogk">Masaaki Takada*, The Graduate University for Advanced Studies; Taiji Suzuki, The University of Tokyo; Hironori Fujisawa, The Insitute of Statistical Mathematics</td>
</tr>
<tr>
<td class="tg-baqh">121</td>
<td class="tg-jogk">Boosting Variational Inference: an Optimization Perspective</td>
<td class="tg-jogk">Francesco Locatello*, ETH Zurich; Rajiv Khanna, UT Austin; Joydeep Ghosh, ; Gunnar Ratsch, </td>
</tr>
<tr>
<td class="tg-baqh">122</td>
<td class="tg-jogk">Personalized and Private Peer-to-Peer Machine Learning</td>
<td class="tg-jogk">Aurélien Bellet*, INRIA; Rachid Guerraoui, ; mahsa Taziki, ; Marc Tommasi, </td>
</tr>
<tr>
<td class="tg-baqh">125</td>
<td class="tg-jogk">Tensor Regression Meets Gaussian Processes</td>
<td class="tg-jogk">Rose Yu*, Caltech; Guangyu Li, University of Southern California; Yan Liu, University of Southern California</td>
</tr>
<tr>
<td class="tg-baqh">127</td>
<td class="tg-jogk">A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization</td>
<td class="tg-jogk">Emanuel Laude*, Technical University of Munich; Tao Wu, ; Daniel Cremers, </td>
</tr>
<tr>
<td class="tg-baqh">133</td>
<td class="tg-jogk">Medoids in Almost-Linear Time via Multi-Armed Bandits</td>
<td class="tg-jogk">Vivek Bagaria, ; Govinda Kamath, ; Martin Zhang, Stanford University; Vasilis Ntranos, ; David Tse*, </td>
</tr>
<tr>
<td class="tg-baqh">139</td>
<td class="tg-jogk">Regional Multi-Armed Bandits</td>
<td class="tg-jogk">Zhiyang Wang, USTC; Ruida Zhou, USTC; Cong Shen*, Univ. of Sci. & Tech. China </td>
</tr>
<tr>
<td class="tg-baqh">142</td>
<td class="tg-jogk">Nearly second-order optimality of online joint detection and estimation via one-sample update schemes</td>
<td class="tg-jogk">Yang Cao*, Georgia Institute of Technolog; Liyan Xie, ; Yao Xie, ; Huan Xu, </td>
</tr>
<tr>
<td class="tg-baqh">151</td>
<td class="tg-jogk">Sum-Product-Quotient Networks</td>
<td class="tg-jogk">Or Sharir*, Hebrew University of Jerusalem; Amnon Shashua, Hebrew University of Jerusalem</td>
</tr>
<tr>
<td class="tg-baqh">154</td>
<td class="tg-jogk">Exploiting Strategy-Space Diversity for Batch Bayesian Optimization</td>
<td class="tg-jogk">Sunil Gupta*, Deakin University; Alistair Shilton, Deakin University; Santu Rana, Deakin University; Svetha Venkatesh, Deakin University</td>
</tr>
<tr>
<td class="tg-baqh">158</td>
<td class="tg-jogk">Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods</td>
<td class="tg-jogk">Stephan Clémençon*, Telecom ParisTech; François Portier, Telecom ParisTech</td>
</tr>
<tr>
<td class="tg-baqh">166</td>
<td class="tg-jogk">Group invariance principles for causal generative models</td>
<td class="tg-jogk">Michel Besserve*, ; naji Shajarisales, MPI for Intelligent Systems; Bernhard Schoelkopf, MPI for Intelligent Systems; Dominik Janzing, MPI for Intelligent Systems</td>
</tr>
<tr>
<td class="tg-baqh">167</td>
<td class="tg-jogk">A Provable Algorithm for Learning Interpretable Scoring Systems</td>
<td class="tg-jogk">Nataliya Sokolovska*, University Paris 6; Yann Chevaleyre, University Paris Dauphine; Jean-Daniel Zucker, IRD</td>
</tr>
<tr>
<td class="tg-baqh">172</td>
<td class="tg-jogk">Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes</td>
<td class="tg-jogk">Hyunjik Kim*, University of Oxford; Yee Whye Teh, Oxford</td>
</tr>
<tr>
<td class="tg-baqh">178</td>
<td class="tg-jogk">Efficient Bandit Combinatorial Optimization Algorithm with Zero-suppressed Binary Decision Diagrams</td>
<td class="tg-jogk">Shinsaku Sakaue*, NTT; Masakazu Ishihata, Hokkaido University; Shin-ichi Minato, </td>
</tr>
<tr>
<td class="tg-baqh">181</td>
<td class="tg-jogk">Transfer Learning on fMRI Datasets</td>
<td class="tg-jogk">Hejia Zhang*, Princeton University; Po-Hsuan Chen, Princeton University; Peter Ramadge, Princeton University</td>
</tr>
<tr>
<td class="tg-baqh">183</td>
<td class="tg-jogk">An Optimization Approach to Learning Falling Rule Lists</td>
<td class="tg-jogk">Chaofan Chen*, Duke University; Cynthia Rudin, Duke</td>
</tr>
<tr>
<td class="tg-baqh">185</td>
<td class="tg-jogk">Catalyst for Gradient-based Nonconvex Optimization</td>
<td class="tg-jogk">Courtney Paquette*, Ohio State University; Hongzhou Lin, INRIA; Dmitriy Drusvyatskiy, University of Washington; Julien Mairal, Inria; Zaid Harchaoui, University of Washington</td>
</tr>
<tr>
<td class="tg-baqh">188</td>
<td class="tg-jogk">Benefits from Superposed Hawkes Processes</td>
<td class="tg-jogk">Hongteng Xu*, Duke University; Dixin Luo, ; Xu Chen, Tsinghua University; Lawrence Carin, Duke</td>
</tr>
<tr>
<td class="tg-baqh">192</td>
<td class="tg-jogk">Nonparametric Preference Completion</td>
<td class="tg-jogk">Julian Katz-Samuels*, University of Michigan; Clayton Scott, University of Michigan</td>
</tr>
<tr>
<td class="tg-baqh">198</td>
<td class="tg-jogk">Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training</td>
<td class="tg-jogk">Mathieu Sinn*, ; Ambrish Rawat, IBM Research</td>
</tr>
<tr>
<td class="tg-baqh">201</td>
<td class="tg-jogk">Efficient and principled score estimation with Nyström kernel exponential families</td>
<td class="tg-jogk">Dougal Sutherland*, Gatsby unit, UCL; Heiko Strathmann, ; Michael Arbel, Gatsby unit, UCL; Arthur Gretton, Gatsby unit, UCL</td>
</tr>
<tr>
<td class="tg-baqh">208</td>
<td class="tg-jogk">Symmetric Variational Autoencoder and Connections to Adversarial Learning</td>
<td class="tg-jogk">Liqun Chen*, Duke University; Shuyang Dai, Duke University; Yunchen Pu, Duke University; Chunyuan Li, Duke University; Qinliang Su, Duke University; Erjin Zhou, Face++; Lawrence Carin, Duke</td>
</tr>
<tr>
<td class="tg-baqh">210</td>
<td class="tg-jogk">Few-shot Generative Modelling with Generative Matching Networks</td>
<td class="tg-jogk">Sergey Bartunov*, DeepMind; Dmitry Vetrov, Higher School of Economics</td>
</tr>
<tr>
<td class="tg-baqh">211</td>
<td class="tg-jogk">Nonlinear Weighted Finite Automata</td>
<td class="tg-jogk">Tianyu Li*, McGill University; Guillaume Rabusseau, McGill University; Doina Precup, McGill University</td>
</tr>
<tr>
<td class="tg-baqh">212</td>
<td class="tg-jogk">Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models</td>
<td class="tg-jogk">Hugh Salimbeni*, Imperial College London; Stefanos Eleftheriadis, Prowler.io; James Hensman, PROWLER.io</td>
</tr>
<tr>
<td class="tg-baqh">216</td>
<td class="tg-jogk">Variational inference for the multi-armed contextual bandit</td>
<td class="tg-jogk">Iñigo Urteaga*, Columbia University; Chris Wiggins, Columbia University</td>
</tr>
<tr>
<td class="tg-baqh">220</td>
<td class="tg-jogk">Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods</td>
<td class="tg-jogk">Robert Gower*, Telecom Paristech; Nicolas Le Roux, Google Brain; Francis Bach, Inria / ENS</td>
</tr>
<tr>
<td class="tg-baqh">226</td>
<td class="tg-jogk">Subsampling for Ridge Regression via Regularized Volume Sampling</td>
<td class="tg-jogk">Michal Derezinski*, UC Santa Cruz; Manfred Warmuth, </td>
</tr>
<tr>
<td class="tg-baqh">228</td>
<td class="tg-jogk">Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition</td>
<td class="tg-jogk">Pavel Izmailov*, Cornell University; Dmitry Kropotov, MSU; Alexander Novikov, Higher school of economics</td>
</tr>
<tr>
<td class="tg-baqh">229</td>
<td class="tg-jogk">Batch-Expansion Training: An Efficient Optimization Framework</td>
<td class="tg-jogk">Michal Derezinski*, UC Santa Cruz; Dhruv Mahajan, Facebook Research; S. Sathiya Keerthi, Microsoft Corporation; S. V. N. Vishwanathan, UC Santa Cruz; Markus Weimer, Microsoft Corporation</td>
</tr>
<tr>
<td class="tg-baqh">237</td>
<td class="tg-jogk">Batched Large-scale Bayesian Optimization in High-dimensional Spaces</td>
<td class="tg-jogk">Zi Wang*, MIT; Clement Gehring, ; Stefanie Jegelka, MIT; Pushmeet Kohli, </td>
</tr>
<tr>
<td class="tg-baqh">244</td>
<td class="tg-jogk">A Bayesian Nonparametric Method for Clustering Imputation, and Forecasting in Multivariate Time Series</td>
<td class="tg-jogk">FERAS SAAD*, MIT; Vikash Mansinghka, MIT</td>
</tr>
<tr>
<td class="tg-baqh">245</td>
<td class="tg-jogk">Stochastic Three-Composite Convex Minimization with a Linear Operator</td>
<td class="tg-jogk">Renbo Zhao*, NUS; Volkan Cevher, EPFL</td>
</tr>
<tr>
<td class="tg-baqh">246</td>
<td class="tg-jogk">Direct Learning to Rank And Rerank</td>
<td class="tg-jogk">Cynthia Rudin*, Duke; Yining Wang, Carnegie Mellon University</td>
</tr>
<tr>
<td class="tg-baqh">247</td>
<td class="tg-jogk">One-shot Coresets: The Case of k-Clustering</td>
<td class="tg-jogk">Olivier Bachem*, ETH Zurich; Mario Lucic, Google Brain Zurich; Silvio Lattanzi, </td>
</tr>
<tr>
<td class="tg-baqh">249</td>
<td class="tg-jogk">Random Warping Series: A Random Features Method for Time-Series Embedding</td>
<td class="tg-jogk">Lingfei Wu*, IBM T. J. Watson Research Cent; Ian En-Hsu Yen, CMU; Jinfeng Yi, ; Fangli Xu, College of William and Mary; Qi Lei, University of Texas at Austin; Michael Witbrock, IBM T. J. Watson Research Center</td>
</tr>
<tr>
<td class="tg-baqh">250</td>
<td class="tg-jogk">Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD</td>
<td class="tg-jogk">Sanghamitra Dutta*, Carnegie Mellon University; Gauri Joshi, Carnegie Mellon University; Soumyadip Ghosh, IBM Research; Parijat Dube, IBM Research; Priya Nagpurkar, IBM Research</td>
</tr>
<tr>
<td class="tg-baqh">251</td>
<td class="tg-jogk">Variational Inference based on Robust Divergences</td>
<td class="tg-jogk">Futoshi Futami*, The University of Tokyo/RIKEN; Issei Sato, The University of Tokyo / RIKEN; Masashi Sugiyama, RIKEN / The University of Tokyo</td>
</tr>
<tr>
<td class="tg-baqh">255</td>
<td class="tg-jogk">Resampled Proposal Distributions for Variational Inference and Learning</td>
<td class="tg-jogk">Aditya Grover*, Stanford University; Ramki Gummadi, ; Miguel Lazaro-Gredilla, Vicarious; Dale Schuurmans, ; Stefano Ermon, Stanford</td>
</tr>
<tr>
<td class="tg-baqh">257</td>
<td class="tg-jogk">Best arm identification in multi-armed bandits with delayed and partial feedback</td>
<td class="tg-jogk">Aditya Grover*, Stanford University; Todor Markov, ; Stefano Ermon, Stanford</td>
</tr>
<tr>
<td class="tg-baqh">267</td>
<td class="tg-jogk">Fully adaptive algorithm for pure exploration in linear bandits</td>
<td class="tg-jogk">Liyuan Xu*, The University of Tokyo / RIKEN; Junya Honda, University of Tokyo / RIKEN; Masashi Sugiyama, RIKEN / The University of Tokyo</td>
</tr>
<tr>
<td class="tg-baqh">272</td>
<td class="tg-jogk">Contextual Bandits with Stochastic Experts</td>
<td class="tg-jogk">Rajat Sen*, University of Texas at Austin; Karthikeyan Shanmugam, IBM; Sanjay Shakkottai, University of Texas at Austin</td>
</tr>
<tr>
<td class="tg-baqh">277</td>
<td class="tg-jogk">Human Interaction with Recommendation Systems</td>
<td class="tg-jogk">Sven Schmit*, Stanford University; Carlos Riquelme, </td>
</tr>
<tr>
<td class="tg-baqh">281</td>
<td class="tg-jogk">Community Detection in Hypergraphs: Optimal Statistical Limit and Efficient Algorithms</td>
<td class="tg-jogk">I Chien, UIUC; Chung-Yi Lin*, National Taiwan University; I-Hsiang Wang, National Taiwan University</td>
</tr>
<tr>
<td class="tg-baqh">294</td>
<td class="tg-jogk">Smooth and Sparse Optimal Transport</td>
<td class="tg-jogk">Mathieu Blondel*, NTT; Vivien Seguy, Kyoto University; Antoine Rolet, Kyoto University</td>
</tr>
<tr>
<td class="tg-baqh">296</td>
<td class="tg-jogk">Robust Maximization of Non-Submodular Objectives</td>
<td class="tg-jogk">Ilija Bogunovic*, ; Junyao Zhao, ETH Zürich; Volkan Cevher, EPFL</td>
</tr>
<tr>
<td class="tg-baqh">298</td>
<td class="tg-jogk">Cause-Effect Inference by Comparing Regression Errors</td>
<td class="tg-jogk">Patrick Bloebaum*, Osaka University; Dominik Janzing, MPI for Intelligent Systems; Takashi Washio, ; Shohei Shimizu, ; Bernhard Schoelkopf, MPI for Intelligent Systems</td>
</tr>
<tr>
<td class="tg-baqh">299</td>
<td class="tg-jogk">Tree-based Bayesian Mixture Model for Competing Risks</td>
<td class="tg-jogk">Alexis Bellot*, University of Oxford; Mihaela Van der Schaar, University of Oxford</td>
</tr>
<tr>
<td class="tg-baqh">301</td>
<td class="tg-jogk">Actor-Critic Fictitious Play in Simultaneous Move Multistage Games</td>
<td class="tg-jogk">Julien Perolat*, DeepMind; Bilal Piot, DeepMind; Olivier Pietquin, DeepMind</td>
</tr>
<tr>
<td class="tg-baqh">307</td>
<td class="tg-jogk">Random Subspace with Trees for Feature Selection Under Memory Constraints</td>
<td class="tg-jogk">Antonio Sutera*, ULiège; Célia Châtel, Aix-Marseille University; Gilles Louppe, ULiège; Louis Wehenkel, ; Pierre Geurts, ULiège</td>
</tr>
<tr>
<td class="tg-baqh">308</td>
<td class="tg-jogk">Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information</td>
<td class="tg-jogk">Jakob Runge*, German Aerospace Agency</td>
</tr>
<tr>
<td class="tg-baqh">310</td>
<td class="tg-jogk">Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures</td>
<td class="tg-jogk">Tomi Silander*, Naverlabs Europe; Janne Leppä-aho, ; Elias Jääsaari, ; Teemu Roos, </td>
</tr>
<tr>
<td class="tg-baqh">311</td>
<td class="tg-jogk">Convex optimization over intersection of simple sets: improved convergence rate guarantees via exact penalty approach</td>
<td class="tg-jogk">Achintya Kundu*, Indian Institute of Science; Francis Bach, Inria / ENS; Chiranjib Bhattacharya, </td>
</tr>
<tr>
<td class="tg-baqh">317</td>
<td class="tg-jogk">Variational Sequential Monte Carlo</td>
<td class="tg-jogk">Christian Naesseth*, Linköping University; Scott Linderman, ; Rajesh Ranganath, Princeton; David Blei, </td>
</tr>
<tr>
<td class="tg-baqh">321</td>
<td class="tg-jogk">Statistically Efficient Estimation for Non-Smooth Probability Densities</td>
<td class="tg-jogk">Masaaki Imaizumi*, ISM / RIKEN; Takanori Maehara, ; Yuichi Yoshida, National Institute of Informatics</td>
</tr>
<tr>
<td class="tg-baqh">324</td>
<td class="tg-jogk">SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning</td>
<td class="tg-jogk">Xu Hu*, ENPC; Guillaume Obozinski, </td>
</tr>
<tr>
<td class="tg-baqh">325</td>
<td class="tg-jogk">Generalized Concomitant Multi-Task Lasso for sparse multimodal regression</td>
<td class="tg-jogk">Mathurin Massias*, INRIA Saclay; Olivier Fercoq, LTCI - Télécom ParisTech - Université Paris Saclay; Alexandre Gramfort, INRIA Saclay; Joseph Salmon, LTCI - Télécom ParisTech - Université Paris Saclay</td>
</tr>
<tr>
<td class="tg-baqh">328</td>
<td class="tg-jogk">Gradient Layer: Enhancing the Convergence of Adversarial Training for Generative Models</td>
<td class="tg-jogk">Atsushi Nitanda*, The University of Tokyo; Taiji Suzuki, The University of Tokyo</td>
</tr>
<tr>
<td class="tg-baqh">332</td>
<td class="tg-jogk">Statistical Sparse Online Regression: A Diffusion Approximation Perspective</td>
<td class="tg-jogk">Junchi Li*, Princeton University; Qiang Sun, Princeton University; Jianqing Fan, Princeton University</td>
</tr>
<tr>
<td class="tg-baqh">338</td>
<td class="tg-jogk">Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization</td>
<td class="tg-jogk">Fanhua Shang*, The Chinese University of Hong Kong; Yuanyuan Liu, The Chinese University of Hong Kong; Kaiwen Zhou, The Chinese University of Hong Kong; James Cheng, The Chinese University of Hong Kong; Kelvin Kai Wing Ng, The Chinese University of Hong Kong; Yuichi Yoshida, National Institute of Informatics</td>
</tr>
<tr>
<td class="tg-baqh">340</td>
<td class="tg-jogk">Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs</td>
<td class="tg-jogk">Lawrence Murray*, Uppsala University; Daniel Lundén, ; Jan Kudlicka, ; David Broman, ; Thomas Schön, </td>
</tr>
<tr>
<td class="tg-baqh">342</td>
<td class="tg-jogk">Learning to Round for Discrete Labeling Problems</td>
<td class="tg-jogk">Pritish Mohapatra*, IIIT, Hyderabad; Jawahar C.V., IIIT Hyderabad; M. Pawan Kumar, University of Oxford</td>
</tr>
<tr>
<td class="tg-baqh">350</td>
<td class="tg-jogk">Approximate ranking from pairwise comparisons</td>
<td class="tg-jogk">Reinhard Heckel*, Rice University; Max Simchowitz, UC Berkeley; Kannan Ramchandran, UC Berkeley; Martin Wainwright, UC Berkeley</td>
</tr>
<tr>
<td class="tg-baqh">352</td>
<td class="tg-jogk">Semi-Supervised Prediction-Constrained Topic Models</td>
<td class="tg-jogk">Michael Hughes*, Harvard University; John Hope, University of California, Irvine; Leah Weiner, Brown University; Thomas McCoy, Massachusetts General Hospital; Roy Perlis, Massachusetts General Hospital; Erik Sudderth, University of California, Irvine; Finale Doshi-Velez, Harvard</td>
</tr>
<tr>
<td class="tg-baqh">354</td>
<td class="tg-jogk">A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop</td>
<td class="tg-jogk">Yichen Wang*, Gatech; Evangelos Theodorou, ; Le Song, Georgia Tech</td>
</tr>
<tr>
<td class="tg-baqh">358</td>
<td class="tg-jogk">Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms</td>
<td class="tg-jogk">Pan Xu*, University of Virginia; Tianhao Wang, ; Quanquan Gu, University of Virginia</td>
</tr>
<tr>
<td class="tg-baqh">367</td>
<td class="tg-jogk">A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery</td>
<td class="tg-jogk">Xiao Zhang*, University of Virginia; Lingxiao Wang, University of Virginia; Quanquan Gu, University of Virginia</td>
</tr>
<tr>
<td class="tg-baqh">370</td>
<td class="tg-jogk">Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling</td>
<td class="tg-jogk">Hongyi Ding*, The University of Tokyo; Mohammad Khan, ; Issei Sato, The University of Tokyo / RIKEN; Masashi Sugiyama, RIKEN / The University of Tokyo</td>
</tr>
<tr>
<td class="tg-baqh">371</td>
<td class="tg-jogk">Factor Analysis on a Graph</td>
<td class="tg-jogk">Masayuki Karasuyama*, ; Hiroshi Mamitsuka, Kyoto University / Aalto University</td>
</tr>
<tr>
<td class="tg-baqh">375</td>
<td class="tg-jogk">Crowdclustering with Partition Labels</td>
<td class="tg-jogk">Junxiang Chen*, Northeastern University; Yale Chang, Northeastern University; Peter Castaldi, Brigham and Women’s Hospital; Michael Cho, Brigham and Women’s Hospital; Brian Hobbs, Brigham and Women’s Hospital; Jennifer Dy, North Eastern</td>
</tr>
<tr>
<td class="tg-baqh">378</td>
<td class="tg-jogk">Learning Structural Weight Uncertainty with Stein Gradient Flows</td>
<td class="tg-jogk">Ruiyi Zhang, Duke University; Chunyuan Li*, Duke University; Changyou Chen, SUNY Buffalo; Lawrence Carin, Duke</td>
</tr>
<tr>
<td class="tg-baqh">382</td>
<td class="tg-jogk">Towards Memory-Friendly Deterministic Incremental Gradient Method</td>
<td class="tg-jogk">Jiahao Xie*, Zhejiang University; Hui Qian, Zhejiang University; Zebang Shen, Zhejiang University; Chao Zhang, Zhejiang University</td>
</tr>
<tr>
<td class="tg-baqh">383</td>
<td class="tg-jogk">Alpha-expansion is Exact on Stable Instances</td>
<td class="tg-jogk">Hunter Lang*, MIT; David Sontag, MIT; Aravindan Vijayaraghavan, Northwestern University</td>
</tr>
<tr>
<td class="tg-baqh">384</td>
<td class="tg-jogk">Bayesian Approaches to Distribution Regression</td>
<td class="tg-jogk">Ho Chung Leon Law*, University Of Oxford; Dougal Sutherland, Gatsby unit, UCL; Dino Sejdinovic, University of Oxford; Seth Flaxman, Imperial College London</td>
</tr>
<tr>
<td class="tg-baqh">386</td>
<td class="tg-jogk">Submodularity on Hypergraphs: From Sets to Sequences</td>
<td class="tg-jogk">Marko Mitrovic*, Yale University; Moran Feldman, Open University of Israel; Andreas Krause, ETH Zurich; Amin Karbasi, Yale</td>
</tr>
<tr>
<td class="tg-baqh">389</td>
<td class="tg-jogk">Provable Estimation of the Number of Blocks in Block Models</td>
<td class="tg-jogk">BOWEI YAN*, UNIVERSITY OF TEXAS AT AUSTIN; Purnamrita Sarkar, University of Texas at Austin; Xiuyuan Cheng, Duke University</td>
</tr>
<tr>
<td class="tg-baqh">391</td>
<td class="tg-jogk">Differentially Private Regression with Gaussian Processes</td>
<td class="tg-jogk">Michael Smith*, University of Sheffield; Mauricio Álvarez, University of Sheffield; Max Zwiessele, University of Sheffield; Neil Lawrence, University of Sheffield</td>
</tr>
<tr>
<td class="tg-baqh">394</td>
<td class="tg-jogk">Adaptive balancing of gradient and update computation times using global geometry and approximate subproblems</td>
<td class="tg-jogk">Sai Praneeth Reddy Karimireddy, EPFL; Sebastian Stich, EPFL; Martin Jaggi*, EPFL</td>
</tr>
<tr>
<td class="tg-baqh">407</td>
<td class="tg-jogk">VAE with a VampPrior</td>
<td class="tg-jogk">Jakub Tomczak*, University of Amsterdam; Max Welling, University of Amsterdam</td>
</tr>
<tr>
<td class="tg-baqh">408</td>
<td class="tg-jogk">Structured Factored Inference for Probabilistic Programming</td>
<td class="tg-jogk">Avi Pfeffer, Charles River Analytics; Brian Ruttenberg, Charles River Analytics; William Kretschmer, MIT; Alison OConnor*, Charles River Analytics</td>
</tr>
<tr>
<td class="tg-baqh">410</td>
<td class="tg-jogk">A Generic Approach for Escaping Saddle points</td>
<td class="tg-jogk">Sashank Reddi, Google; Manzil Zaheer*, Carnegie Mellon University; Suvrit Sra, MIT; Barnabas Poczos, Carnegie Mellon University; Francis Bach, Inria / ENS; Ruslan Salakhutdinov, Carnegie Mellon University; Alex Smola, Amazon</td>
</tr>
<tr>
<td class="tg-baqh">411</td>
<td class="tg-jogk">Policy Evaluation and Optimization with Continuous Treatments</td>
<td class="tg-jogk">Nathan Kallus*, ; Angela Zhou, Cornell ORIE</td>
</tr>
<tr>
<td class="tg-baqh">412</td>
<td class="tg-jogk">Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations</td>
<td class="tg-jogk">Alan Lazarus*, University of Glagsow; Dirk Husmeier, Glasgow; Theodore Papamarkou, Mathematics & Statistics, University of Glasgow</td>
</tr>
<tr>
<td class="tg-baqh">414</td>
<td class="tg-jogk">Why adaptively collected data have negative bias and how to correct for it.</td>
<td class="tg-jogk">Xinkun Nie*, Stanford University; Xiaoying Tian, Stanford University; Jonathan Taylor, Stanford University; James Zou, Stanford University</td>
</tr>
<tr>
<td class="tg-baqh">425</td>
<td class="tg-jogk">Sparse Linear Isotonic Models</td>
<td class="tg-jogk">Sheng Chen*, University of Minnesota; Arindam Banerjee, University of Minnesota</td>
</tr>
<tr>
<td class="tg-baqh">431</td>
<td class="tg-jogk">Robustness of classifiers to uniform \ell_p and Gaussian noise</td>
<td class="tg-jogk">Jean-Yves Franceschi, Ecole Normale Supérieure Lyon; Alhussein Fawzi*, UCLA; Omar Fawzi, </td>
</tr>
<tr>
<td class="tg-baqh">436</td>
<td class="tg-jogk">Nested CRP with Hawkes-Gaussian Processes</td>
<td class="tg-jogk">Xi Tan*, Purdue University; Vinayak Rao, Purdue; Jennifer Neville, Purdue University</td>
</tr>
<tr>
<td class="tg-baqh">441</td>
<td class="tg-jogk">Sketching for Kronecker Product Regression and P-splines</td>
<td class="tg-jogk">Huaian Diao, Northeast Normal University ; Zhao Song, UT-Austin; Wen Sun*, Carnegie Mellon University; David Woodruff, Carnegie Mellon University</td>
</tr>
<tr>
<td class="tg-baqh">442</td>
<td class="tg-jogk">Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models</td>
<td class="tg-jogk">Ardavan Saeedi*, ; Matthew Hoffman, Google; Matthew Hoffman, Google; Stephen DiVerdi, Adobe; Asma Ghandeharioun, MIT; Matthew Johnson, Google Brain; Ryan Adams, Princeton</td>
</tr>
<tr>
<td class="tg-baqh">444</td>
<td class="tg-jogk">Cheap Checking for Cloud Computing: Statistical Analysis via Annotated Data Streams</td>
<td class="tg-jogk">Chris Hickey*, University of Warwick; Graham Cormode, </td>
</tr>
<tr>
<td class="tg-baqh">447</td>
<td class="tg-jogk">Reconstruction Risk of Convolutional Sparse Dictionary Learning</td>
<td class="tg-jogk">Shashank Singh*, ; Barnabas Poczos, Carnegie Mellon University; Jian Ma, Carnegie Mellon University</td>
</tr>
<tr>
<td class="tg-baqh">448</td>
<td class="tg-jogk">Kernel Conditional Exponential Family</td>
<td class="tg-jogk">Michael Arbel*, Gatsby unit, UCL; Arthur Gretton, Gatsby unit, UCL</td>
</tr>
<tr>
<td class="tg-baqh">451</td>
<td class="tg-jogk">Linear Stochastic Approximation: Constant Step-Size and Iterate Averaging</td>
<td class="tg-jogk">Chandrashekar Lakshmi-Narayanan*, Indian Institute of Science; Csaba Szepesvari, </td>
</tr>
<tr>
<td class="tg-baqh">452</td>
<td class="tg-jogk">Stochastic Zeroth-order Optimization in High Dimensions</td>
<td class="tg-jogk">Yining Wang*, Carnegie Mellon University; Simon Du, ; Sivaraman Balakrishnan, Carnegie Mellon University; Aarti Singh, Carnegie Mellon University</td>
</tr>
<tr>
<td class="tg-baqh">459</td>
<td class="tg-jogk">Teacher Improves Learning by Selecting a Training Subset</td>
<td class="tg-jogk">Philippe Rigollet, Massachusetts Institute of Technology; Robert Nowak, ; Xiaojin Zhu*, University of Wisconsin-Madison; Xuezhou Zhang, University of Wisconsin-Madison; Yuzhe Ma, Univ. of Wisconsin-Madison</td>
</tr>
<tr>
<td class="tg-baqh">460</td>
<td class="tg-jogk">Communication-Avoiding Optimization Methods for Massive-Scale Graphical Model Structure Learning</td>
<td class="tg-jogk">Penporn Koanantakool*, UC Berkeley; Alnur Ali, Carnegie Mellon University; Ariful Azad, Lawrence Berkeley National Laboratory; Aydin Buluc, Lawrence Berkeley National Laboratory; Dmitriy Morozov, Lawrence Berkeley National Laboratory; Sang-Yun Oh, University of California, Santa Barbara; Leonid Oliker, Lawrence Berkeley National Laboratory; Katherine Yelick, Lawrence Berkeley National Laboratory</td>
</tr>
<tr>
<td class="tg-baqh">462</td>
<td class="tg-jogk">Robust Vertex Enumeration for Convex Hulls in High Dimensions</td>
<td class="tg-jogk">Pranjal Awasthi*, Rutgers University; Bahman Kalantari, ; Yikai Zhang, Rutgers</td>
</tr>
<tr>
<td class="tg-baqh">468</td>
<td class="tg-jogk">Fast generalization error bound of deep learning from a kernel perspective</td>
<td class="tg-jogk">Taiji Suzuki*, The University of Tokyo</td>
</tr>
<tr>
<td class="tg-baqh">471</td>
<td class="tg-jogk">Product Kernel Interpolation for Scalable Gaussian Processes</td>
<td class="tg-jogk">Jacob Gardner*, Cornell University; Geoff Pleiss, Cornell University; Ruihan Wu, Tsinghua University; Kilian Weinberger, Cornell University; Andrew Wilson, Cornell University</td>
</tr>
<tr>
<td class="tg-baqh">472</td>
<td class="tg-jogk">Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation</td>
<td class="tg-jogk">MOHAMMADREZA SOLTANI*, Iowa State University; Chinmay Hegde, Iowa State University</td>
</tr>
<tr>
<td class="tg-baqh">474</td>
<td class="tg-jogk">Scalable Generalized Dynamic Topic Models</td>
<td class="tg-jogk">Patrick Jähnichen*, Humboldt-Universität zu Berlin; Florian Wenzel, Humboldt-Universität zu Berlin; Marius Kloft, Humboldt-Universität zu Berlin; Stephan Mandt, Disney Research</td>
</tr>
<tr>
<td class="tg-baqh">478</td>
<td class="tg-jogk">Bayesian Structure Learning for Dynamic Brain Connectivity</td>
<td class="tg-jogk">Michael Andersen*, Aalto University; Oluwasanmi Koyejo, UIUC; Ole Winther, DTU; Lars Kai Hansen, Technical University of Denmark; Russell Poldrack, Stanford University</td>
</tr>
<tr>
<td class="tg-baqh">482</td>
<td class="tg-jogk">Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method</td>
<td class="tg-jogk">Mark Eisen*, University of Pennsylvania; Aryan Mokhtari, University of California, Berkeley; Alejandro Ribeiro, University of Pennsylvania</td>
</tr>
<tr>
<td class="tg-baqh">483</td>
<td class="tg-jogk">Frank-Wolfe Splitting via Augmented Lagrangian Method</td>
<td class="tg-jogk">Gauthier Gidel*, MILA; Fabian Pedregosa, UC Berkeley; Simon Lacoste-Julien, Montreal</td>
</tr>
<tr>
<td class="tg-baqh">487</td>
<td class="tg-jogk">Learning linear structural equation models in polynomial time and sample complexity</td>
<td class="tg-jogk">Asish Ghoshal*, Purdue University; Jean Honorio, Purdue</td>
</tr>
<tr>
<td class="tg-baqh">490</td>
<td class="tg-jogk">Convergence diagnostics for stochastic gradient descent</td>
<td class="tg-jogk">Jerry Chee*, University of Chicago; Panos Toulis, </td>
</tr>
<tr>
<td class="tg-baqh">496</td>
<td class="tg-jogk">Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity</td>
<td class="tg-jogk">Asish Ghoshal*, Purdue University; Jean Honorio, Purdue</td>
</tr>
<tr>
<td class="tg-baqh">499</td>
<td class="tg-jogk">Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization</td>
<td class="tg-jogk">Seung-Jean Kim, ; Johan Lim, Seoul National University; Joong-Ho Won*, Seoul National University</td>
</tr>
<tr>
<td class="tg-baqh">500</td>
<td class="tg-jogk">Stochastic algorithms for entropy-regularized optimal transport problems</td>
<td class="tg-jogk">Brahim Khalil Abid*, Ecole polytechnique; Robert Gower, Telecom Paristech</td>
</tr>
<tr>
<td class="tg-baqh">502</td>
<td class="tg-jogk">Plug-in Estimators for Conditional Expectations and Probabilities</td>
<td class="tg-jogk">Steffen Grunewalder*, Lancaster University</td>
</tr>
<tr>
<td class="tg-baqh">503</td>
<td class="tg-jogk">Factorized Recurrent Neural Architectures for Longer Range Dependence</td>
<td class="tg-jogk">Francois Belletti*, UC Berkeley; Alex Beutel, Google Inc.; Sagar Jain, Google Inc.; Ed Chi, Google Inc.</td>
</tr>
<tr>
<td class="tg-baqh">504</td>
<td class="tg-jogk">On the Statistical Efficiency of Compositional Nonparametric Prediction</td>
<td class="tg-jogk">Yixi Xu*, Purdue University; Jean Honorio, Purdue; Xiao Wang, Purdue University</td>
</tr>
<tr>
<td class="tg-baqh">509</td>
<td class="tg-jogk">Metrics for Deep Generative Models</td>
<td class="tg-jogk">Nutan Chen*, Volkswagen Group; Richard Kurle, ; Alexej Klushyn, ; Justin Bayer, ; Xueyan Jiang, ; Patrick van der Smagt, </td>
</tr>
<tr>
<td class="tg-baqh">510</td>
<td class="tg-jogk">Combinatorial Penalties: Which structures are preserved by convex relaxations?</td>
<td class="tg-jogk">Marwa El Halabi*, EPFL; Francis Bach, Inria / ENS; Volkan Cevher, EPFL</td>
</tr>
<tr>
<td class="tg-baqh">513</td>
<td class="tg-jogk">Generalized Binary Search For Split-Neighborly Problems</td>
<td class="tg-jogk">Stephen Mussmann*, Stanford University; Percy Liang, Stanford University</td>
</tr>
<tr>
<td class="tg-baqh">518</td>
<td class="tg-jogk">Intersection-Validation: A Method for Evaluating Structure Learning without Ground Truth</td>
<td class="tg-jogk">Jussi Viinikka*, ; Ralf Eggeling, University of Helsinki; Mikko Koivisto, </td>
</tr>
<tr>
<td class="tg-baqh">522</td>
<td class="tg-jogk">On Statistical Optimality of Variational Bayes</td>
<td class="tg-jogk">Anirban Bhattacharya, Texas A&M University; Debdeep Pati*, Texas A&M University; Yun Yang, </td>
</tr>
<tr>
<td class="tg-baqh">524</td>
<td class="tg-jogk">Minimax-Optimal Privacy-Preserving Sparse PCA in Distributed Systems</td>
<td class="tg-jogk">Jason Ge*, Princeton University; Zhaoran Wang, ; Mengdi Wang, ; Han Liu, Princeton</td>
</tr>
<tr>
<td class="tg-baqh">525</td>
<td class="tg-jogk">Online Regression with Partial Information: Generalization and Linear Projection</td>
<td class="tg-jogk">Shinji Ito*, NEC Coorporation; Daisuke Hatano, ; Hanna Sumita, ; Akihiro Yabe, ; Takuro Fukunaga, ; Naonori Kakimura, ; Ken-Ichi Kawarabayashi, </td>
</tr>
<tr>
<td class="tg-baqh">526</td>
<td class="tg-jogk">Learning Generative Models with Sinkhorn Divergences</td>
<td class="tg-jogk">Aude Genevay*, Université Paris Dauphine; Gabriel Peyre, ; Marco Cuturi, ENSAE/CREST</td>
</tr>
<tr>
<td class="tg-baqh">532</td>
<td class="tg-jogk">Reparameterizing the Birkhoff Polytope for Variational Permutation Inference</td>
<td class="tg-jogk">Scott Linderman, ; Gonzalo Mena*, Columbia University; Hal Cooper, Columbia University; Liam Paninski, Columbia University; John Cunningham, Columbia University</td>
</tr>
<tr>
<td class="tg-baqh">534</td>
<td class="tg-jogk">Achieving the time of 1-NN, but the accuracy of k-NN</td>
<td class="tg-jogk">Lirong Xue*, Princeton University; Samory Kpotufe, Princeton University</td>
</tr>
<tr>
<td class="tg-baqh">535</td>
<td class="tg-jogk">Efficient Weight Learning in High-Dimensional Untied MLNs</td>
<td class="tg-jogk">Khan Mohammad Al Farabi*, The University of Memphis; Somdeb Sarkhel, Adobe Research; Deepak Venugopal, University of Memphis</td>
</tr>
<tr>
<td class="tg-baqh">536</td>
<td class="tg-jogk">Consistent Algorithms for Classification under Complex Losses and Constraints</td>
<td class="tg-jogk">Harikrishna Narasimhan*, Harvard University</td>
</tr>
<tr>
<td class="tg-baqh">539</td>
<td class="tg-jogk">Solving lp-norm regularization with tensor kernels</td>
<td class="tg-jogk">Saverio Salzo*, Istituto Italiano di Tecnologi; Lorenzo Rosasco, University of Genova & MIT; Johan Suykens, </td>
</tr>
<tr>
<td class="tg-baqh">546</td>
<td class="tg-jogk">Weighted Tensor Decomposition for Learning Latent Variables with Partial Data</td>
<td class="tg-jogk">Omer Gottesman*, Harvard University; Weiwei Pan, ; Finale Doshi-Velez, Harvard</td>
</tr>
<tr>
<td class="tg-baqh">547</td>
<td class="tg-jogk">Multi-objective Contextual Bandit Problem with Similarity Information</td>
<td class="tg-jogk">Eralp Turgay, Bilkent University; Doruk Oner, Bilkent University; Cem Tekin*, Bilkent University</td>
</tr>
<tr>
<td class="tg-baqh">549</td>
<td class="tg-jogk">Turing: Composable inference for probabilistic programming</td>
<td class="tg-jogk">Hong Ge*, University of Cambridge; Kai Xu, University of Edinburgh; Zoubin Ghahramani, University of Cambridge</td>
</tr>
<tr>
<td class="tg-baqh">550</td>
<td class="tg-jogk">Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure</td>
<td class="tg-jogk">Beilun Wang*, University of Virginia; arshdeep Sekhon, University of Virginia; Yanjun Qi, </td>
</tr>
<tr>
<td class="tg-baqh">551</td>
<td class="tg-jogk">Data-Efficient Reinforcement Learning with \\Probabilistic Model Predictive Control</td>
<td class="tg-jogk">Sanket Kamthe, Imperial College; Marc Deisenroth*, Imperial College London</td>
</tr>
<tr>
<td class="tg-baqh">557</td>
<td class="tg-jogk">Approximate Bayesian Computation with Kullback-Leibler Divergence as Data Discrepancy</td>
<td class="tg-jogk">Bai Jiang*, Princeton University</td>
</tr>
<tr>
<td class="tg-baqh">561</td>
<td class="tg-jogk">Practical Bayesian optimization in the presence of outliers</td>
<td class="tg-jogk">Ruben Martinez-Cantin*, ; Michael McCourt, SigOpt; Kevin Tee, SigOpt</td>
</tr>
<tr>
<td class="tg-baqh">563</td>
<td class="tg-jogk">Competing with Automata-based Expert Sequences</td>
<td class="tg-jogk">Scott Yang*, D. E. Shaw & Co.; Mehryar Mohri, </td>
</tr>
<tr>
<td class="tg-baqh">564</td>
<td class="tg-jogk">Reducing Crowdsourcing to Graphon Estimation, Statistically</td>
<td class="tg-jogk">Christina Lee*, Microsoft Research; Devavrat Shah, MIT</td>
</tr>
<tr>
<td class="tg-baqh">567</td>
<td class="tg-jogk">Robust Locally-Linear Controllable Embedding</td>
<td class="tg-jogk">Ershad Banijamali*, University of Waterloo; Rui Shu, Stanford University; mohammad Ghavamzadeh, DeepMind; Hung Bui, Adobe Research; Ali Ghodsi, University of Waterloo </td>
</tr>
<tr>
<td class="tg-baqh">569</td>
<td class="tg-jogk">Combinatorial Semi-Bandits with Knapsacks</td>
<td class="tg-jogk">Karthik Abinav Sankararaman*, University of Maryland College; Aleksandrs Slivkins, Microsoft Research NYC</td>
</tr>
<tr>
<td class="tg-baqh">571</td>
<td class="tg-jogk">Structured Optimal Transport</td>
<td class="tg-jogk">David Alvarez Melis*, MIT; Tommi Jaakkola, MIT; Stefanie Jegelka, MIT</td>
</tr>
<tr>
<td class="tg-baqh">578</td>
<td class="tg-jogk">Graphical Models for Non-Negative Data Using Generalized Score Matching</td>
<td class="tg-jogk">Shiqing Yu*, University of Washington; Mathias Drton, University of Washington; Ali Shojaie, University of Washington</td>
</tr>
<tr>
<td class="tg-baqh">581</td>
<td class="tg-jogk">Asynchronous Doubly Stochastic Group Regularized Learning</td>
<td class="tg-jogk">Bin Gu*, University of Pittsburgh; Zhouyuan Huo, ; Heng Huang, University of Pittsburgh</td>
</tr>
<tr>
<td class="tg-baqh">582</td>
<td class="tg-jogk">Convergence of Value Aggregation for Imitation Learning</td>
<td class="tg-jogk">Ching-An Cheng*, Georgia Institute of Technology; Byron Boots, </td>
</tr>
<tr>
<td class="tg-baqh">594</td>
<td class="tg-jogk">Inference in Sparse Graphs with Pairwise Measurements and Side Information</td>
<td class="tg-jogk">Dylan Foster*, Cornell University; Karthik Sridharan, Cornell University; Daniel Reichman, UC Berkeley</td>
</tr>
<tr>
<td class="tg-baqh">595</td>
<td class="tg-jogk">Parallel and Distributed MCMC via Shepherding Distributions</td>
<td class="tg-jogk">Arkabandhu Chowdhury*, Rice University; Christopher Jermaine, Rice University</td>
</tr>
<tr>
<td class="tg-baqh">602</td>
<td class="tg-jogk">The Power Mean Laplacian for Multilayer Graph Clustering</td>
<td class="tg-jogk">Pedro Mercado*, Saarland University; Antoine Gautier, Saarland University; Francesco Tudisco, University of Strathclyde; Matthias Hein, Saarland University</td>
</tr>
<tr>
<td class="tg-baqh">604</td>
<td class="tg-jogk">Adaptive Sampling for Clustered Ranking</td>
<td class="tg-jogk">Sumeet Katariya*, Univ of Wisconsin-Madison; Lalit Jain, University of Michigan Ann Arbor; Nandana Sengupta, University of Chicago; James Evans, University of Chicago; Robert Nowak, University of Wisconsin-Madison</td>
</tr>
<tr>
<td class="tg-baqh">611</td>
<td class="tg-jogk">Comparison Based Learning from Weak Oracles</td>
<td class="tg-jogk">Ehsan Kazemi*, Yale; Lin Chen, Yale University; Sanjoy Dasgupta, University of California San Diego; Amin Karbasi, Yale</td>
</tr>
<tr>
<td class="tg-baqh">613</td>
<td class="tg-jogk">The Binary Space Partitioning-Tree Process</td>