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Poster
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Wed 2:30
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Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability
Alex Damian · Eshaan Nichani · Jason Lee
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Poster
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Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function
Ruijie Zheng · Xiyao Wang · Huazhe Xu · Furong Huang
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Workshop
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Bayesian regularization of empirical MDPs
Samarth Gupta · Daniel Hill · Lexing Ying · Inderjit Dhillon
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Poster
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Implicit Regularization for Group Sparsity
Jiangyuan Li · THANH NGUYEN · Chinmay Hegde · Raymond K. W. Wong
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Poster
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Wed 2:30
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Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
Avrajit Ghosh · HE LYU · Xitong Zhang · Rongrong Wang
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Oral
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Wed 1:30
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Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
Avrajit Ghosh · HE LYU · Xitong Zhang · Rongrong Wang
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Poster
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Disentangling the Mechanisms Behind Implicit Regularization in SGD
Zachary Novack · Simran Kaur · Tanya Marwah · Saurabh Garg · Zachary Lipton
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Poster
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Noise Injection Node Regularization for Robust Learning
Noam Levi · Itay Bloch · Marat Freytsis · Tomer Volansky
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Poster
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Tue 2:30
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TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
Alan Jeffares · Tennison Liu · Jonathan Crabbé · Fergus Imrie · Mihaela van der Schaar
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Oral
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Tue 6:40
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Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization
Haoran Xu · Li Jiang · Jianxiong Li · Zhuoran Yang · Zhaoran Wang · Wai Chan · Xianyuan Zhan
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Poster
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Wed 7:30
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Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
Eric Qu · Xufang Luo · Dongsheng Li
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Poster
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Wed 7:30
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Compositionality with Variation Reliably Emerges in Neural Networks
Henry Conklin · Kenny Smith
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