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Poster
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Wed 9:00
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Generalization Analysis on Learning with a Concurrent Verifier
Masaaki Nishino · Kengo Nakamura · Norihito Yasuda
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Workshop
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Fri 7:48
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Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees
Kai-Chieh Hsu · Allen Z. Ren · Duy Nguyen · Anirudha Majumdar · Jaime Fisac
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Poster
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Wed 14:00
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Generalization Analysis of Message Passing Neural Networks on Large Random Graphs
Sohir Maskey · Ron Levie · Yunseok Lee · Gitta Kutyniok
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Poster
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Wed 9:00
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Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
Yunwen Lei · Rong Jin · Yiming Ying
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Poster
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Tue 14:00
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Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction
Kaifeng Lyu · Zhiyuan Li · Sanjeev Arora
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Workshop
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Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees
Kai-Chieh Hsu · Allen Z. Ren · Duy Nguyen · Anirudha Majumdar · Jaime Fisac
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Poster
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Wed 9:00
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Stability Analysis and Generalization Bounds of Adversarial Training
Jiancong Xiao · Yanbo Fan · Ruoyu Sun · Jue Wang · Zhi-Quan Luo
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Poster
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Tue 9:00
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Modeling the Machine Learning Multiverse
Samuel J. Bell · Onno Kampman · Jesse Dodge · Neil Lawrence
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Poster
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Tue 9:00
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Stability and Generalization for Markov Chain Stochastic Gradient Methods
Puyu Wang · Yunwen Lei · Yiming Ying · Ding-Xuan Zhou
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Poster
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Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms
Jiechao Guan · Yong Liu · Zhiwu Lu
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Poster
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Tue 14:00
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Thinned random measures for sparse graphs with overlapping communities
Federica Zoe Ricci · Michele Guindani · Erik Sudderth
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Poster
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Wed 9:00
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On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
Jinglin Chen · Aditya Modi · Akshay Krishnamurthy · Nan Jiang · Alekh Agarwal
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