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Workshop
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Fri 6:30
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Invited Talk 2: Gauge Theory in Geometric Deep Learning
Taco Cohen
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Workshop
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Fri 15:30
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Invited Talk: Developmental Robotics: Language Learning, Trust and Theory of Mind
Angelo Cangelosi
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Workshop
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Sat 10:50
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Invited Talk 4: From Moderate Deviations Theory to Distributionally Robust Optimization: Learning from Correlated Data
Daniel Kuhn
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Poster
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Wed 9:00
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Gradient Regularized V-Learning for Dynamic Treatment Regimes
Yao Zhang · Mihaela van der Schaar
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Poster
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Tue 9:00
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On the Theory of Transfer Learning: The Importance of Task Diversity
Nilesh Tripuraneni · Michael Jordan · Chi Jin
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Oral Session
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Wed 18:00
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Orals & Spotlights Track 24: Learning Theory
Avrim Blum · Steve Hanneke
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Poster
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Wed 21:00
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Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Yuzhe Yang · Zhi Xu
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Workshop
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Task Similarity Aware Meta Learning: Theory-inspired Improvement on MAML
Pan Zhou
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Poster
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Tue 21:00
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Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
Yufeng Zhang · Qi Cai · Zhuoran Yang · Yongxin Chen · Zhaoran Wang
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Oral
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Tue 18:30
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Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
Yufeng Zhang · Qi Cai · Zhuoran Yang · Yongxin Chen · Zhaoran Wang
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Invited Talk
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Tue 17:00
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Robustness, Verification, Privacy: Addressing Machine Learning Adversaries
Shafi Goldwasser
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Poster
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Tue 9:00
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Learning Disentangled Representations and Group Structure of Dynamical Environments
Robin Quessard · Thomas Barrett · William Clements
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