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Poster
Tue 10:45 A Primal-Dual link between GANs and Autoencoders
Hisham Husain · Richard Nock · Robert Williamson
Poster
Tue 10:45 Deep ReLU Networks Have Surprisingly Few Activation Patterns
Boris Hanin · David Rolnick
Poster
Tue 10:45 Differentially Private Algorithms for Learning Mixtures of Separated Gaussians
Gautam Kamath · Or Sheffet · Vikrant Singhal · Jonathan Ullman
Poster
Wed 17:00 First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
Thanh Huy Nguyen · Umut Simsekli · Mert Gurbuzbalaban · Gaël RICHARD
Poster
Tue 10:45 Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
Bingzhe Wu · Shiwan Zhao · Chaochao Chen · Haoyang Xu · Li Wang · Xiaolu Zhang · Guangyu Sun · Jun Zhou
Poster
Tue 10:45 You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
Dinghuai Zhang · Tianyuan Zhang · Yiping Lu · Zhanxing Zhu · Bin Dong
Poster
Tue 10:45 Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
Mark Bun · Thomas Steinke
Poster
Thu 10:45 Private Hypothesis Selection
Mark Bun · Gautam Kamath · Thomas Steinke · Steven Wu
Poster
Tue 17:30 Necessary and Sufficient Geometries for Gradient Methods
Daniel Levy · John Duchi
Poster
Thu 17:00 Understanding Sparse JL for Feature Hashing
Meena Jagadeesan
Poster
Tue 10:45 Uniform convergence may be unable to explain generalization in deep learning
Vaishnavh Nagarajan · J. Zico Kolter
Poster
Thu 17:00 Average Individual Fairness: Algorithms, Generalization and Experiments
Saeed Sharifi-Malvajerdi · Michael Kearns · Aaron Roth