Results

Poster	Wed 9:00	Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks Yunwen Lei · Rong Jin · Yiming Ying
Poster	Tue 14:00	Learning with convolution and pooling operations in kernel methods Theodor Misiakiewicz · Song Mei
Poster	Thu 14:00	Benign Underfitting of Stochastic Gradient Descent Tomer Koren · Roi Livni · Yishay Mansour · Uri Sherman
Workshop		Learning-based solutions to nonlinear hyperbolic PDEs: Empirical insights on generalization errors Bilal Thonnam Thodi · Sai Venkata Ramana Ambadipudi · Saif Eddin Jabari
Poster	Tue 9:00	Generalization Error Bounds on Deep Learning with Markov Datasets Lan V. Truong
Poster	Tue 14:00	Understanding Square Loss in Training Overparametrized Neural Network Classifiers Tianyang Hu · Jun WANG · Wenjia Wang · Zhenguo Li
Poster	Tue 14:00	Black-Box Generalization: Stability of Zeroth-Order Learning Konstantinos Nikolakakis · Farzin Haddadpour · Dionysis Kalogerias · Amin Karbasi
Poster	Thu 14:00	A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi · Gabriele Cesa · Taco Cohen
Poster	Tue 9:00	Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning Milad Sefidgaran · Romain Chor · Abdellatif Zaidi