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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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Thu 21:00
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Theory-Inspired Path-Regularized Differential Network Architecture Search
Pan Zhou · Caiming Xiong · Richard Socher · Steven Chu Hong Hoi
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Oral
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Thu 18:00
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Theory-Inspired Path-Regularized Differential Network Architecture Search
Pan Zhou · Caiming Xiong · Richard Socher · Steven Chu Hong Hoi
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Poster
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Thu 9:00
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Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
Noam Brown · Anton Bakhtin · Adam Lerer · Qucheng Gong
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Workshop
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Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms
Quentin Bouniot
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Workshop
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Ideal theory in AI ethics
Daniel Estrada
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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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Fri 10:30
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Session 2 | Invited talk: Phiala Shanahan, "Generative Flow Models for Gauge Field Theory"
Phiala Shanahan · Atilim Gunes Baydin
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Poster
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Thu 9:00
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Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples
Shafi Goldwasser · Adam Tauman Kalai · Yael Kalai · Omar Montasser
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Spotlight
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Thu 8:20
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Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples
Shafi Goldwasser · Adam Tauman Kalai · Yael Kalai · Omar Montasser
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Workshop
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Fri 1:15
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Invited Talk: Ulrich Bauer: The Representation Theory of Filtered Hierarchical Clustering
Ulrich Bauer
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Poster
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Tue 21:00
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Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
Benjamin Eysenbach · XINYANG GENG · Sergey Levine · Russ Salakhutdinov
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