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Poster
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Wed 11:00
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Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements
Jiseok Chae · Chulhee Yun · Donghwan Kim
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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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Thu 16:30
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Stochastic Newton Proximal Extragradient Method
Ruichen Jiang · Michal Derezinski · Aryan Mokhtari
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Poster
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Wed 11:00
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The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize
Dongyan Lucy Huo · Yixuan Zhang · Yudong Chen · Qiaomin Xie
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Poster
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Fri 16:30
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Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions
Wei Jiang · Sifan Yang · Yibo Wang · Lijun Zhang
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Poster
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Fri 16:30
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Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets
Taira Tsuchiya · Shinji Ito
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Workshop
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A Stochastic Algorithm for Sinkhorn Distance-Regularized Distributionally Robust Optimization
Yufeng Yang · Yi Zhou · Zhaosong Lu
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Poster
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Thu 11:00
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Controlling Continuous Relaxation for Combinatorial Optimization
Yuma Ichikawa
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Poster
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Fri 16:30
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Faster Algorithms for User-Level Private Stochastic Convex Optimization
Andrew Lowy · Daogao Liu · Hilal Asi
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Workshop
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Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization
Matan Schliserman · Tomer Koren
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Poster
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Wed 16:30
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Stochastic Optimal Control Matching
Carles Domingo i Enrich · Jiequn Han · Brandon Amos · Joan Bruna · Ricky T. Q. Chen
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Poster
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Wed 11:00
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Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients
Yuri Fonseca · Caio Peixoto · Yuri Saporito
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