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Poster
Tue 14:00 SONIA: A Symmetric Blockwise Truncated Optimization Algorithm
Majid Jahani · MohammadReza Nazari · Rachael Tappenden · Albert Berahas · Martin Takac
Poster
Tue 14:00 Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization
Jelena Diakonikolas · Constantinos Daskalakis · Michael Jordan
Poster
Tue 14:00 Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes
Nhuong Nguyen · Toan Nguyen · PHUONG HA NGUYEN · Quoc Tran-Dinh · Lam Nguyen · Marten van Dijk
Poster
Tue 14:00 Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function
Ioannis Tsaknakis · Mingyi Hong
Poster
Tue 14:00 Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms
Tengyu Xu · Yingbin Liang
Poster
Tue 14:00 Matérn Gaussian Processes on Graphs
Viacheslav Borovitskiy · Iskander Azangulov · Alexander Terenin · Peter Mostowsky · Marc Deisenroth · Nicolas Durrande
Poster
Tue 14:00 On the Linear Convergence of Policy Gradient Methods for Finite MDPs
Jalaj Bhandari · Daniel Russo
Poster
Tue 14:00 Maximizing Agreements for Ranking, Clustering and Hierarchical Clustering via MAX-CUT
Vaggos Chatziafratis · Mohammad Mahdian · Sara Ahmadian
Poster
Tue 18:30 Generalization Bounds for Stochastic Saddle Point Problems
Junyu Zhang · Mingyi Hong · Mengdi Wang · Shuzhong Zhang
Poster
Tue 18:30 Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features
Shingo Yashima · Atsushi Nitanda · Taiji Suzuki
Poster
Tue 18:30 Parametric Programming Approach for More Powerful and General Lasso Selective Inference
Vo Nguyen Le Duy · Ichiro Takeuchi
Poster
Tue 18:30 vqSGD: Vector Quantized Stochastic Gradient Descent
Venkata Gandikota · Daniel Kane · Raj Kumar Maity · Arya Mazumdar