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Workshop
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Fri 6:30
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Hoda Heidari - What Can Fair ML Learn from Economic Theories of Distributive Justice?
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Workshop
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Fri 12:50
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An interpretation of GANs via online learning and game theory
Paulina Grnarova
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Poster
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Wed 7:45
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Generalization Bounds for Uniformly Stable Algorithms
Vitaly Feldman · Jan Vondrak
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Workshop
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Fri 6:40
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Adversarial Vision Challenge: Theory-inspired Approaches for Adversarial Machine Learning
susu xu · Yaodong Yu
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Poster
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Wed 7:45
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Convex Elicitation of Continuous Properties
Jessica Finocchiaro · Rafael Frongillo
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Poster
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Wed 14:00
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Q-learning with Nearest Neighbors
Devavrat Shah · Qiaomin Xie
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Poster
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Wed 7:45
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Tight Bounds for Collaborative PAC Learning via Multiplicative Weights
Jiecao Chen · Qin Zhang · Yuan Zhou
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Poster
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Wed 7:45
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PAC-learning in the presence of adversaries
Daniel Cullina · Arjun Nitin Bhagoji · Prateek Mittal
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Workshop
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Sat 6:40
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Invited talk 2: Machine Learning and Cryptography: Challenges and Opportunities
Shafi Goldwasser
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Poster
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Wed 14:00
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Confounding-Robust Policy Improvement
Nathan Kallus · Angela Zhou
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Poster
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Wed 7:45
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Chaining Mutual Information and Tightening Generalization Bounds
Amir Asadi · Emmanuel Abbe · Sergio Verdu
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Workshop
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Fri 14:30
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Tomaso Poggio (MIT): Dynamical System Theory for Deep Learning
Tomaso Poggio
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