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Poster
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Fri 16:30
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Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate
Can Jin · Tong Che · Hongwu Peng · Yiyuan Li · Dimitris Metaxas · Marco Pavone
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Poster
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Deep linear networks for regression are implicitly regularized towards flat minima
Pierre Marion · Lénaïc Chizat
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Poster
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Wed 11:00
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Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization
Haoran Li · Zhennan Jiang · YUHUI CHEN · Dongbin Zhao
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Poster
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Thu 16:30
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Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems
Haozhe Tian · Homayoun Hamedmoghadam · Robert Shorten · Pietro Ferraro
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Poster
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Thu 11:00
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Implicit Regularization of Decentralized Gradient Descent for Sparse Regression
Tongle Wu · Ying Sun
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Poster
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Fri 16:30
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Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
Yi Ma · Jianye Hao · Xiaohan Hu · YAN ZHENG · Chenjun Xiao
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Poster
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Thu 11:00
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Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms
Dimitri Meunier · Zikai Shen · Mattes Mollenhauer · Arthur Gretton · Zhu Li
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Poster
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Wed 11:00
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How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks
Mo Zhou · Rong Ge
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Poster
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Wed 11:00
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pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization
Matthew Bendel · Rizwan Ahmad · Philip Schniter
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Poster
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Wed 16:30
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VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction
Hanlin Chen · Fangyin Wei · Chen Li · Tianxin Huang · Yunsong Wang · Gim Hee Lee
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Poster
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Fri 11:00
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Parseval Regularization for Continual Reinforcement Learning
Wesley Chung · Lynn Cherif · Doina Precup · David Meger
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Poster
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Thu 16:30
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Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization
Junlin He · Jinxiao Du · Wei Ma
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