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Workshop
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Memory Efficient Adaptive Stochastic Optimization via Subset-Norm
Thien H Nguyen · Huy Nguyen
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Poster
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Fri 16:30
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An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong · Jie Hao · Mingrui Liu
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Poster
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Wed 16:30
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Online Composite Optimization Between Stochastic and Adversarial Environments
Yibo Wang · SIJIA CHEN · Wei Jiang · Wenhao Yang · Yuanyu Wan · Lijun Zhang
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Poster
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Thu 16:30
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How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?
Jun Chen · Hong Chen · Bin Gu
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Workshop
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The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization
Matan Schliserman · Uri Sherman · Tomer Koren
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Poster
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Thu 11:00
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On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
Yusu Hong · Junhong Lin
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Poster
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Thu 11:00
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Stochastic Optimal Control for Diffusion Bridges in Function Spaces
Byoungwoo Park · Jungwon Choi · Sungbin Lim · Juho Lee
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Poster
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Fri 16:30
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A Continuous-time Stochastic Gradient Descent Method for Continuous Data
Kexin Jin · Jonas Latz · Chenguang Liu · Carola-Bibiane Schönlieb
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Poster
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Fri 16:30
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Emergence of heavy tails in homogenized stochastic gradient descent
Zhezhe Jiao · Martin Keller-Ressel
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Poster
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Tight Rates for Bandit Control Beyond Quadratics
Y. Jennifer Sun · Zhou Lu
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Poster
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Thu 11:00
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Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization
Zhuanghua Liu · Luo Luo · Bryan Kian Hsiang Low
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Poster
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Wed 16:30
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Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
Xuxing Chen · Abhishek Roy · Yifan Hu · Krishnakumar Balasubramanian
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