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Poster
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Thu 14:00
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Benign Underfitting of Stochastic Gradient Descent
Tomer Koren · Roi Livni · Yishay Mansour · Uri Sherman
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Poster
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Thu 14:00
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A PAC-Bayesian Generalization Bound for Equivariant Networks
Arash Behboodi · Gabriele Cesa · Taco Cohen
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Poster
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Tue 9:00
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Generalization Error Bounds on Deep Learning with Markov Datasets
Lan V. Truong
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Poster
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Tue 14:00
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Learning with convolution and pooling operations in kernel methods
Theodor Misiakiewicz · Song Mei
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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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Workshop
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Learning-based solutions to nonlinear hyperbolic PDEs: Empirical insights on generalization errors
Bilal Thonnam Thodi · Sai Venkata Ramana Ambadipudi · Saif Eddin Jabari
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Poster
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Tue 9:00
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Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning
Milad Sefidgaran · Romain Chor · Abdellatif Zaidi
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Poster
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Tue 14:00
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Understanding Square Loss in Training Overparametrized Neural Network Classifiers
Tianyang Hu · Jun WANG · Wenjia Wang · Zhenguo Li
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Poster
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Tue 14:00
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Black-Box Generalization: Stability of Zeroth-Order Learning
Konstantinos Nikolakakis · Farzin Haddadpour · Dionysis Kalogerias · Amin Karbasi
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Workshop
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Evaluating Error Bound for Physics-Informed Neural Networks on Linear Dynamical Systems
Shuheng Liu · Xiyue Huang · Pavlos Protopapas
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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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Tue 14:00
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Differentially Private Learning with Margin Guarantees
Raef Bassily · Mehryar Mohri · Ananda Theertha Suresh
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