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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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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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Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck · Siddhartha Mishra
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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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Thu 9:00
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Approximation with CNNs in Sobolev Space: with Applications to Classification
Guohao Shen · Yuling Jiao · Yuanyuan Lin · Jian Huang
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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 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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Thu 14:00
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WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting
Youngin Cho · Daejin Kim · DONGMIN KIM · MOHAMMAD AZAM KHAN · Jaegul Choo
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Poster
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Tue 9:00
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Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity
Yiheng Lin · Yang Hu · Guannan Qu · Tongxin Li · Adam Wierman
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Poster
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Wed 14:00
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Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound
Charles Guille-Escuret · Adam Ibrahim · Baptiste Goujaud · Ioannis Mitliagkas
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