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Workshop
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Finding Structure and Causality in Linear Programs
Matej Zečević · Florian Peter Busch · Devendra Dhami · Kristian Kersting
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Workshop
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Compositional Multi-object Reinforcement Learning with Linear Relation Networks
Davide Mambelli · Frederik Träuble · Stefan Bauer · Bernhard Schoelkopf · Francesco Locatello
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Poster
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Thu 18:30
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Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs
Naman Agarwal · Syomantak Chaudhuri · Prateek Jain · Dheeraj Nagaraj · Praneeth Netrapalli
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Poster
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Mon 2:30
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The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
Rahim Entezari · Hanie Sedghi · Olga Saukh · Behnam Neyshabur
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Poster
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Mon 10:30
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Transition to Linearity of Wide Neural Networks is an Emerging Property of Assembling Weak Models
Chaoyue Liu · Libin Zhu · Mikhail Belkin
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Poster
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Thu 10:30
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Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
Matthew Farrell · Blake Bordelon · Shubhendu Trivedi · Cengiz Pehlevan
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Poster
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Mon 18:30
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Training invariances and the low-rank phenomenon: beyond linear networks
Thien Le · Stefanie Jegelka
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Poster
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Tue 18:30
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PoNet: Pooling Network for Efficient Token Mixing in Long Sequences
Chao-Hong Tan · Qian Chen · Wen Wang · Qinglin Zhang · Siqi Zheng · Zhen-Hua Ling
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Poster
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Tue 10:30
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Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press · Noah Smith · Mike Lewis
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Poster
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Mon 10:30
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Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism
Ming Yin · Yaqi Duan · Mengdi Wang · Yu-Xiang Wang
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