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Poster
Tue 9:00 Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to Optimization
Yuri Kinoshita · Taiji Suzuki
Poster
Thu 9:00 Automatic Differentiation of Programs with Discrete Randomness
Gaurav Arya · Moritz Schauer · Frank Schäfer · Christopher Rackauckas
Workshop
Stochastic Gradient Estimator for Differentiable NAS
Libin Hou · Linyuan Wang · Qi Peng · Bin Yan
Poster
Wed 14:00 On the convergence of policy gradient methods to Nash equilibria in general stochastic games
Angeliki Giannou · Kyriakos Lotidis · Panayotis Mertikopoulos · Emmanouil-Vasileios Vlatakis-Gkaragkounis
Poster
Tue 9:00 On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond
Shiji Zhou · Wenpeng Zhang · Jiyan Jiang · Wenliang Zhong · Jinjie GU · Wenwu Zhu
Poster
Tue 9:00 Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
Aleksandr Beznosikov · Pavel Dvurechenskii · Anastasiia Koloskova · Valentin Samokhin · Sebastian Stich · Alexander Gasnikov
Poster
Wed 14:00 Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity
William de Vazelhes · Hualin Zhang · Huimin Wu · Xiaotong Yuan · Bin Gu
Poster
Tue 9:00 SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems
Xuan Zhang · Necdet Serhat Aybat · Mert Gurbuzbalaban
Poster
Tue 14:00 A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization
Tesi Xiao · Krishnakumar Balasubramanian · Saeed Ghadimi
Poster
Tue 9:00 Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions
Saeed Masiha · Saber Salehkaleybar · Niao He · Negar Kiyavash · Patrick Thiran