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Poster
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Thu 16:30
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Data-Efficient Learning with Neural Programs
Alaia Solko-Breslin · Seewon Choi · Ziyang Li · Neelay Velingker · Rajeev Alur · Mayur Naik · Eric Wong
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Workshop
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PICL: Learning to Incorporate Physical Information When Only Coarse-Grained Data is Available
Haodong Feng · Yue Wang · Dixia Fan
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Poster
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Wed 11:00
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Worst-Case Offline Reinforcement Learning with Arbitrary Data Support
Kohei Miyaguchi
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Tutorial
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Tue 13:30
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Sandbox for the Blackbox: How LLMs Learn Structured Data?
Bingbin Liu · Ashok Vardhan Makkuva · Jason Lee
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Workshop
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Sun 9:30
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Rich Caruana: The Unexpected Success of GlassBox Learning with Tabular Data
Rich Caruana
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Poster
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Wed 16:30
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Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions
Tian Xie · Xueru Zhang
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Poster
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Thu 11:00
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Reinforcement Learning with LTL and ω-Regular Objectives via Optimality-Preserving Translation to Average Rewards
Xuan Bach Le · Dominik Wagner · Leon Witzman · Alexander Rabinovich · Luke Ong
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Workshop
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Data Augmentation Transformations for Self-Supervised Learning with Ultrasound
Blake VanBerlo · Alexander Wong · Jesse Hoey · Robert Arntfield
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Poster
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Thu 11:00
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Learning to Predict Structural Vibrations
Jan van Delden · Julius Schultz · Christopher Blech · Sabine Langer · Timo Lüddecke
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Poster
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Wed 16:30
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Off-policy estimation with adaptively collected data: the power of online learning
Jeonghwan Lee · Cong Ma
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Affinity Event
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Supporting Responsible Machine Learning by Improving Data Curation
Eshta Bhardwaj · Christoph Becker
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Poster
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Thu 16:30
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Data subsampling for Poisson regression with pth-root-link
Han Cheng Lie · Alexander Munteanu
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