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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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Poster
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Thu 9:00
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Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
Colin Wei · Yining Chen · Tengyu Ma
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Poster
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Wed 14:00
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Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness
Fredrik Hellström · Giuseppe Durisi
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Poster
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Thu 14:00
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Generalization for multiclass classification with overparameterized linear models
Vignesh Subramanian · Rahul Arya · Anant Sahai
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Poster
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Generalization Bounds for Gradient Methods via Discrete and Continuous Prior
Xuanyuan Luo · Bei Luo · Jian Li
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Poster
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Thu 14:00
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A New Family of Generalization Bounds Using Samplewise Evaluated CMI
Fredrik Hellström · Giuseppe Durisi
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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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Provable General Function Class Representation Learning in Multitask Bandits and MDP
Rui Lu · Andrew Zhao · Simon Du · Gao Huang
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Poster
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Thu 9:00
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Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
Binghui Li · Jikai Jin · Han Zhong · John Hopcroft · Liwei Wang
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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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Thu 14:00
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Integral Probability Metrics PAC-Bayes Bounds
Ron Amit · Baruch Epstein · Shay Moran · Ron Meir
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Poster
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Thu 9:00
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An Analytical Theory of Curriculum Learning in Teacher-Student Networks
Luca Saglietti · Stefano Mannelli · Andrew Saxe
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