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Workshop
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Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation Based Inference
Vincent Zaballa · Elliot Hui
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Poster
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Tue 14:00
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Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
Lesi Chen · Jing Xu · Luo Luo
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Poster
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Thu 13:30
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Buying Information for Stochastic Optimization
Mingchen Ma · Christos Tzamos
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Oral
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Thu 18:40
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Buying Information for Stochastic Optimization
Mingchen Ma · Christos Tzamos
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Poster
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Thu 16:30
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Differentially Private Stochastic Convex Optimization under a Quantile Loss Function
Du Chen · Geoffrey Chua
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Poster
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Wed 14:00
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Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits
Heyang Zhao · Dongruo Zhou · Jiafan He · Quanquan Gu
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Poster
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Wed 14:00
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Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
SIJIA CHEN · Wei-Wei Tu · Peng Zhao · Lijun Zhang
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Poster
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Thu 13:30
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End-to-End Learning for Stochastic Optimization: A Bayesian Perspective
Yves Rychener · Daniel Kuhn · Tobias Sutter
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Poster
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Wed 14:00
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Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion
Ashok Cutkosky · Harsh Mehta · Francesco Orabona
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Oral
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Thu 18:48
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A Fully First-Order Method for Stochastic Bilevel Optimization
Jeongyeol Kwon · Dohyun Kwon · Stephen Wright · Robert Nowak
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Workshop
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An Optimal Clustering Algorithm for the Labeled Stochastic Block Model
Kaito Ariu · Se-Young Yun · Alexandre Proutiere
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Poster
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Wed 14:00
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A Fully First-Order Method for Stochastic Bilevel Optimization
Jeongyeol Kwon · Dohyun Kwon · Stephen Wright · Robert Nowak
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