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Poster
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Tue 14:00
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PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization
Sanae Lotfi · Marc Finzi · Sanyam Kapoor · Andres Potapczynski · Micah Goldblum · Andrew Wilson
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Poster
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Tue 9:00
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Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees
Songkai Xue · Yuekai Sun · Mikhail Yurochkin
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Panel
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Tue 17:45
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Panel 2B-2: One Positive Label… & Calibrated Data-Dependent Constraints…
Songkai Xue · Ning Xu
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Workshop
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LiFe-net: Data-driven Modelling of Time-dependent Temperatures and Charging Statistics Of Tesla’s LiFePo4 EV Battery
Jeyhun Rustamov · Luisa Fennert · Nico Hoffmann
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Poster
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Thu 14:00
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Off-Policy Evaluation with Policy-Dependent Optimization Response
Wenshuo Guo · Michael Jordan · Angela Zhou
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Poster
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Tue 9:00
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Learning with little mixing
Ingvar Ziemann · Stephen Tu
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Poster
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Tue 14:00
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Reinforcement Learning with Logarithmic Regret and Policy Switches
Grigoris Velegkas · Zhuoran Yang · Amin Karbasi
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Poster
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Wed 14:00
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Data-Efficient Augmentation for Training Neural Networks
Tian Yu Liu · Baharan Mirzasoleiman
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Workshop
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Fri 6:45
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Learning Causal Structures and Causal Representations from Data
Peter Spirtes
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Poster
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Thu 14:00
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The Effects of Regularization and Data Augmentation are Class Dependent
Randall Balestriero · Leon Bottou · Yann LeCun
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Workshop
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Rhino: Deep Causal Temporal Relationship Learning with history-dependent noise
Wenbo Gong · Joel Jennings · Cheng Zhang · Nick Pawlowski
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Workshop
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Learning to Continually Learn with Topological Regularization
Tananun Songdechakraiwut · Xiaoshuang Yin · Barry Van Veen
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