Artificial Intelligence (AI) | 20 May | 17:00 – 19:00 CEST
Time (CEST) | Session | Speaker |
17:00–17:05 | Welcome | Scarlet Schwiderski-Grosche, Microsoft |
17:05–17:25 | Perspective on AI Research: Human-centered AI and Robustness | Video | Emre Kiciman, Microsoft |
17:25–18:20 | AI Session I | Chair: Guy Leroy, Microsoft |
Monitoring, Modelling, and Modifying Dietary Habits and Nutrition Based on Large-Scale Digital Traces | Video | Kristina Gligoric, EPFL (collaboration with Robert West, EPFL, Arnaud Chiolero, University of Fribourg and Eric Horvitz, Emre Kiciman, Ryen White, Microsoft) |
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Grounding Spatio-temporal Language with Transformers | Video | Laetitia Teodorescu, INRIA (collaboration with Tristan Karch, Clément Moulin-Frier, Pierre-Yves Oudeyer, INRIA and Katja Hofmann, Microsoft) |
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Statistical Preconditioning for Distributed Optimization | Video | Hadrien Hendrikx, INRIA (collaboration with Francis Bach, Laurent Massoulié, INRIA and Sébastien Bubeck, Microsoft) |
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Information Theory for Representation Learning | Marco Federici, University of Amsterdam (collaboration with Patrick Forré, Max Welling, University of Amsterdam and Ryota Tomioka, Microsoft) |
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18:20–19:00 | AI Session II | Chair: Evelyn Zuniga, Microsoft |
Information Directed Reward Learning for Reinforcement Learning | Video | David Lindner, ETH Zurich (collaboration with Andreas Krause, ETH Zurich and Katja Hofmann, Microsoft) |
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Probabilistic DAG Search | Video | Julia Grosse, University of Tübingen (collaboration with Philipp Hennig, University of Tübingen and Cheng Zhang, Microsoft) |
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Teacher Algorithms for Deep Reinforcement Learning Students | Video | Rémy Portelas, INRIA (collaboration with Pierre-Yves Oudeyer, INRIA and Katja Hofmann, Microsoft) |
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19:00 | Conclusions | Scarlet Schwiderski-Grosche, Microsoft |