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Poster
Wed 9:00 Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression
Xinmeng Huang · Yiming Chen · Wotao Yin · Kun Yuan
Poster
Wed 14:00 Coordinate Linear Variance Reduction for Generalized Linear Programming
Chaobing Song · Cheuk Yin Lin · Stephen Wright · Jelena Diakonikolas
Workshop
DRL-EPANET: Deep reinforcement learning for optimal control at scale in Water Distribution Systems
Anas Belfadil · David Modesto · Jose Martin H.
Poster
Wed 14:00 Wasserstein Logistic Regression with Mixed Features
Aras Selvi · Mohammad Reza Belbasi · Martin Haugh · Wolfram Wiesemann
Poster
Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning
Tomoya Murata · Taiji Suzuki
Poster
Wed 14:00 Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport
Dandan Guo · Long Tian · He Zhao · Mingyuan Zhou · Hongyuan Zha
Poster
Tue 9:00 Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity
Bingqing Song · Ioannis Tsaknakis · Chung-Yiu Yau · Hoi-To Wai · Mingyi Hong
Workshop
Graph-Relational Distributionally Robust Optimization
Fengchun Qiao · Xi Peng
Poster
Tue 14:00 EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization
Laurent Condat · Kai Yi · Peter Richtarik
Poster
Thu 9:00 A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
Mingrui Liu · Zhenxun Zhuang · Yunwen Lei · Chunyang Liao
Poster
Tue 9:00 Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees
Aleksandr Beznosikov · Peter Richtarik · Michael Diskin · Max Ryabinin · Alexander Gasnikov
Poster
Thu 14:00 Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees
Avinandan Bose · Arunesh Sinha · Tien Mai