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Workshop
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Domain Generalization for Robust Model-Based Offline RL
Alan Clark · Shoaib Siddiqui · Robert Kirk · Usman Anwar · Stephen Chung · David Krueger
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Workshop
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Sat 11:55
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Andrew Gordon Wilson: When Bayesian Orthodoxy Can Go Wrong: Model Selection and Out-of-Distribution Generalization
Andrew Gordon Wilson
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Affinity Workshop
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Towards testing effectiveness of a Spanish Sarcasm Model in different Regions
Ricardo Alanis Tamez · Ivan Vladimir Meza Ruiz
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Affinity Workshop
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Towards testing effectiveness of a Spanish Sarcasm Model in different Regions
Ricardo Alanis Tamez · Ivan Vladimir Meza Ruiz
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Poster
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Thu 14:00
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On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity
Vincent Szolnoky · Viktor Andersson · Balazs Kulcsar · Rebecka Jörnsten
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Workshop
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Sat 11:30
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Andrew Gordon Wilson: When Bayesian Orthodoxy Can Go Wrong: Model Selection and Out-of-Distribution Generalization
Andrew Gordon Wilson
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Poster
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Tue 9:00
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Modeling the Machine Learning Multiverse
Samuel J. Bell · Onno Kampman · Jesse Dodge · Neil Lawrence
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Poster
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Tue 9:00
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NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
Zhaoyu Li · Xujie Si
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Workshop
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Build generally reusable agent-environment interaction models
Jun Jin · Hongming Zhang · Jun Luo
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Workshop
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Domain Generalization for Robust Model-Based Offline Reinforcement Learning
Alan Clark · Shoaib Siddiqui · Robert Kirk · Usman Anwar · Stephen Chung · David Krueger
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Panel
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Thu 18:15
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Panel 6B-3: Exponential Family Model-Based… & Deep Generalized Schrödinger…
Guan-Horng Liu · Gene Li
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Poster
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Thu 14:00
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A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models
Lijia Zhou · Frederic Koehler · Pragya Sur · Danica J. Sutherland · Nati Srebro
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