Summary of Slicing Mutual Information Generalization Bounds For Neural Networks, by Kimia Nadjahi et al.
Slicing Mutual Information Generalization Bounds for Neural Networksby Kimia Nadjahi, Kristjan Greenewald, Rickard BrĂ¼el Gabrielsson,…
Slicing Mutual Information Generalization Bounds for Neural Networksby Kimia Nadjahi, Kristjan Greenewald, Rickard BrĂ¼el Gabrielsson,…
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Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Samplingby Imad Aouali,…
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularizationby Yihang Chen, Fanghui Liu, Taiji Suzuki,…
Cyclic Sparse Training: Is it Enough?by Advait Gadhikar, Sree Harsha Nelaturu, Rebekka BurkholzFirst submitted to…
Generative Conditional Distributions by Neural (Entropic) Optimal Transportby Bao Nguyen, Binh Nguyen, Hieu Trung Nguyen,…
Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel Learningby Fan He, Mingzhen He, Lei…
State Space Models on Temporal Graphs: A First-Principles Studyby Jintang Li, Ruofan Wu, Xinzhou Jin,…
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantizationby Aozhong Zhang, Naigang Wang, Yanxia Deng, Xin…
Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selectionby Andrzej Cichocki, Sergio Cruces,…