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Poster
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Wed 15:30
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For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria
Scott Emmons · Caspar Oesterheld · Andrew Critch · Vincent Conitzer · Stuart Russell
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Poster
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Wed 15:30
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A Resilient Distributed Boosting Algorithm
Yuval filmus · Idan Mehalel · Shay Moran
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Spotlight
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Wed 8:00
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For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria
Scott Emmons · Caspar Oesterheld · Andrew Critch · Vincent Conitzer · Stuart Russell
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Poster
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Wed 15:30
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The dynamics of representation learning in shallow, non-linear autoencoders
Maria Refinetti · Sebastian Goldt
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Spotlight
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Wed 13:30
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The dynamics of representation learning in shallow, non-linear autoencoders
Maria Refinetti · Sebastian Goldt
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Workshop
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Fri 14:30
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Policy Gradient: Theory for Making Best Use of It
Mengdi Wang
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Workshop
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Fri 10:30
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Equivariant Machine Learning with Classical Invariant Theory
Soledad Villar
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Workshop
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Sat 13:30
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Prescriptive solutions in games: from theory to scale
Julien Perolat
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Workshop
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Sat 12:15
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Insup Lee: PAC Prediction Sets: Theory and Applications
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Affinity Workshop
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Mon 9:05
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Selected Paper #1 - FedControl: When Control Theory Meets Federated Learning
Alexandre Duplessis
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Workshop
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Learning to Play with the Machines in Social Science Research: Bringing the Theory Back In
Giovanna Maria Dora Dore
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Workshop
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P22: Type Theory for Inference and Learning in Minds and Machines
Felix Sosa
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