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Poster
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Thu 14:00
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Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments
Liyu Chen · Haipeng Luo
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Poster
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Tue 9:00
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Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems
Rushang Karia · Rashmeet Kaur Nayyar · Siddharth Srivastava
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Poster
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Thu 14:00
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Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate
Chenglin Fan · Ping Li · Xiaoyun Li
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Workshop
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Geometric path augmentation for inference of sparsely observed stochastic nonlinear systems
Dimitra Maoutsa
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Workshop
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Stochastic Gradient Methods with Compressed Communication for Decentralized Saddle Point Problems
Chhavi Sharma · Vishnu Narayanan · Balamurugan Palaniappan
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Workshop
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Uniform Convergence and Generalization for Nonconvex Stochastic Minimax Problems
Siqi Zhang · Yifan Hu · Liang Zhang · Niao He
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Poster
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Thu 14:00
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Statistical Learning and Inverse Problems: A Stochastic Gradient Approach
Yuri Fonseca · Yuri Saporito
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Poster
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Tue 14:00
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Optimal Algorithms for Decentralized Stochastic Variational Inequalities
Dmitry Kovalev · Aleksandr Beznosikov · Abdurakhmon Sadiev · Michael Persiianov · Peter Richtarik · Alexander Gasnikov
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Workshop
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Neural All-Pairs Shortest Path for Reinforcement Learning
Cristina Pinneri · Georg Martius · Andreas Krause
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Workshop
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Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems
Yuchen Fang · Sen Na · Mladen Kolar
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Poster
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Tue 9:00
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Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
Aleksandr Beznosikov · Pavel Dvurechenskii · Anastasiia Koloskova · Valentin Samokhin · Sebastian Stich · Alexander Gasnikov
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Poster
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Tue 9:00
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SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems
Xuan Zhang · Necdet Serhat Aybat · Mert Gurbuzbalaban
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