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Workshop
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Mathematical Theory of Adversarial Deep Learning
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Oral
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Tue 20:54
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Tighter Information-Theoretic Generalization Bounds from Supersamples
Ziqiao Wang · Yongyi Mao
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Poster
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Tue 17:00
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Tighter Information-Theoretic Generalization Bounds from Supersamples
Ziqiao Wang · Yongyi Mao
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Workshop
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Information-Theoretic Generalization Bounds for the Subtask Problem
Firas Laakom · Yuheng Bu · Moncef Gabbouj
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Workshop
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Mathematical Theory of Adversarial Deep Learning
Xiao-Shan Gao · Lijia Yu · Shuang Liu
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Poster
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Tue 14:00
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An Information-Theoretic Analysis of Nonstationary Bandit Learning
Seungki Min · Daniel Russo
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Poster
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Thu 13:30
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CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
Desi Ivanova · Joel Jennings · Tom Rainforth · Cheng Zhang · Adam Foster
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Oral
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Tue 20:38
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Information-Theoretic State Space Model for Multi-View Reinforcement Learning
HyeongJoo Hwang · Seokin Seo · Youngsoo Jang · Sungyoon Kim · Geon-Hyeong Kim · Seunghoon Hong · Kee-Eung Kim
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Poster
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Thu 16:30
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Information-Theoretic State Space Model for Multi-View Reinforcement Learning
HyeongJoo Hwang · Seokin Seo · Youngsoo Jang · Sungyoon Kim · Geon-Hyeong Kim · Seunghoon Hong · Kee-Eung Kim
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Workshop
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Fri 12:30
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Lea Schönherr
Lea Schönherr
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Poster
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Tue 17:00
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Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
Anastasiia Koloskova · Hadrien Hendrikx · Sebastian Stich
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Poster
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Wed 17:00
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Nonlinear Causal Discovery with Latent Confounders
David Kaltenpoth · Jilles Vreeken
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