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Poster
Thu 17:00 Average Individual Fairness: Algorithms, Generalization and Experiments
Saeed Sharifi-Malvajerdi · Michael Kearns · Aaron Roth
Poster
Tue 10:45 High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
Ruben Villegas · Arkanath Pathak · Harini Kannan · Dumitru Erhan · Quoc V Le · Honglak Lee
Poster
Thu 10:45 Optimizing Generalized Rate Metrics with Three Players
Harikrishna Narasimhan · Andrew Cotter · Maya Gupta
Poster
Thu 10:45 Variance Reduction for Matrix Games
Yair Carmon · Yujia Jin · Aaron Sidford · Kevin Tian
Poster
Wed 17:00 On Making Stochastic Classifiers Deterministic
Andrew Cotter · Maya Gupta · Harikrishna Narasimhan
Poster
Thu 17:00 On Robustness of Principal Component Regression
Anish Agarwal · Devavrat Shah · Dennis Shen · Dogyoon Song
Poster
Thu 17:00 Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
Ananya Uppal · Shashank Singh · Barnabas Poczos
Poster
Tue 10:45 Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
Maxence Ernoult · Julie Grollier · Damien Querlioz · Yoshua Bengio · Benjamin Scellier
Poster
Tue 10:45 Logarithmic Regret for Online Control
Naman Agarwal · Elad Hazan · Karan Singh
Poster
Wed 10:45 Fast and Accurate Least-Mean-Squares Solvers
Ibrahim Jubran · Alaa Maalouf · Dan Feldman
Poster
Tue 10:45 Kernel Instrumental Variable Regression
Rahul Singh · Maneesh Sahani · Arthur Gretton
Poster
Thu 17:00 Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Sindy Löwe · Peter O'Connor · Bas Veeling