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Early Career Spotlight Talks
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Mohit Bansal
Title: Multimodal, Grounded, and Knowledgeable Language Understanding+Generation
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Mingming Gong
Title: Bridging Causality and Learning: How Do They Benefit from Each Other?
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Quanquan Gu
Title: Understanding Overparameterized Deep Neural Networks: From Optimization To Generalization
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Tias Guns
Title: Learning from user and environment in combinatorial optimisation
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Daniel Harabor
Title: Single and Multi-agent Path Planning
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Alexey Ignatiev
Title: Towards Trustable Explainable AI
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Rivka Levitan
Title: Developing an Integrated Model of Speech Entrainment
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Risheng Liu
Title: Optimization Learning: Perspective, Method, and Applications
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Takanori Maehara
Title: Frontier of Submodular Maximization
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Nick Mattei
Title: Closing the Loop: Bringing Humans into Empirical Computational Social Choice and Preference Reasoning
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Cynthia Matuszek
Title: Learning Language in Simulation for Real Robot Interaction
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Alex Schwing
Title: Learning to Anticipate
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Taiki Todo
Title: Mechanism Design with Uncertainty
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Title: Handing Constraints in Probabilistic Planning: Problems, Algorithms, and Heuristics"
Felipe Trevizan
Title: Handing Constraints in Probabilistic Planning: Problems, Algorithms, and Heuristics
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Lijun Zhang
Title: Online Learning in Changing Environments