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21 Results

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Poster
Tue 9:00 Stability and Generalization for Markov Chain Stochastic Gradient Methods
Puyu Wang · Yunwen Lei · Yiming Ying · Ding-Xuan Zhou
Poster
Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective
Jiadong Liang · Yuze Han · Xiang Li · Zhihua Zhang
Poster
Tue 9:00 Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents
Qiang LI · Chung-Yiu Yau · Hoi-To Wai
Poster
Tue 14:00 Optimal Algorithms for Decentralized Stochastic Variational Inequalities
Dmitry Kovalev · Aleksandr Beznosikov · Abdurakhmon Sadiev · Michael Persiianov · Peter Richtarik · Alexander Gasnikov
Poster
Tue 9:00 Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data
Abhishek Roy · Krishnakumar Balasubramanian · Saeed Ghadimi
Poster
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
Gerard Ben Arous · Reza Gheissari · Aukosh Jagannath
Poster
Tue 14:00 Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization
Benjamin Dubois-Taine · Francis Bach · Quentin Berthet · Adrien Taylor
Poster
Tue 14:00 A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization
Tesi Xiao · Krishnakumar Balasubramanian · Saeed Ghadimi
Poster
Thu 14:00 A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
Songtao Lu · Siliang Zeng · Xiaodong Cui · Mark Squillante · Lior Horesh · Brian Kingsbury · Jia Liu · Mingyi Hong