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Poster
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Tue 16:30
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A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou · Caiming Xiong · Xiaotong Yuan · Steven Chu Hong Hoi
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Spotlight
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A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou · Caiming Xiong · Xiaotong Yuan · Steven Chu Hong Hoi
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Workshop
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Tue 7:30
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Philipp Grohs - The Theory-to-Practice Gap in Deep Learning
Philipp Grohs
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Workshop
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Fine-tuning Vision Transformers for the Prediction of State Variables in Ising Models
Onur Kara · Arijit Sehanobish · HECTOR CORZO
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Workshop
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Mon 9:40
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Keynote: Susan Athey (Machine Learning with Strategic Agents: Lessons from Incentive Theory and Econometrics)
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Workshop
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Mon 13:00
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Keynote: Dorsa Sadigh (Theory and Practice of Partner-Aware Algorithms in Multi-Agent Coordination)
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Workshop
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Mon 9:00
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Keynote: Michael I. Jordan (On Dynamics-Informed Blending of Machine Learning and Game Theory)
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Workshop
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Tue 6:25
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Grounding an Ecological Theory of Artificial Intelligence in Human Evolution
Eleni Nisioti · Clément Moulin-Frier
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Workshop
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Mon 9:35
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Dataset Shifts: 8 Years of Going from Practice to Theory to Policy and Future Directions
Suchi Saria
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Poster
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Thu 8:30
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Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms
Jeremy Seeman · Matthew Reimherr · Aleksandra Slavković
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Poster
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Tue 8:30
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Calibration and Consistency of Adversarial Surrogate Losses
Pranjal Awasthi · Natalie Frank · Anqi Mao · Mehryar Mohri · Yutao Zhong
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Workshop
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Mon 6:00
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Regularity theory of optimal transport maps
Alessio Figalli
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