Early Career Spotlight Talks
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- Christopher Amato
Decision-Making Under Uncertainty in Multi-Agent and Multi-Robot Systems: Planning and Learning
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- Yukino Baba
Statistical Quality Control for Human Computation and Crowdsourcing
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- Anca Dragan
Optimizing Robot Action for and around People
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- Martin Gebser
Gearing up Knowledge Representation and Reasoning for the Real World
- Emmanuel Hebrard
Reasoning about NP-complete Constraints
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- Jia Jia
Mental Health Computing via Harvesting Social Media Data
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- Albert Xin Jiang
Solving Games with Structured Strategy Spaces
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- J. Zico Kolter
The power of convexity in deep learning
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- Xiaojuan Ma
Towards Human-Engaged AI
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- Cynthia Matuszek
Grounded Language Learning: Where Robotics and NLP Meet
- Nina Narodytska
Formal Analysis of Deep Binarized Neural Networks
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- Roberto Navigli
Natural Language Understanding: Instructions for (Present and Future) Use
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- Frans A. Oliehoek
Interactive Learning and Decision Making: Foundations, Insights & Challenges
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- Magdalena Ortiz
Improving Data Management using Domain Knowledge
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- Nardine Osman
Partakable Technology
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- Scott Sanner
Symbolic Compilation, Inference, and Decision-making with Deep-learned Models
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- Guy Shani
Advances and Challenges in Privacy Preserving Planning
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- Matthew E. Taylor
Improving Reinforcement Learning with Human Input
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- Serena Villata
Artificial Argumentation for Humans
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- William Yeoh
Towards Improving the Expressivity and Scalability of Distributed Constraint Optimization Problems
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- Yang Yu
Towards Sample Efficient Reinforcement Learning
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- Xiangliang Zhang
Mining Streaming and Temporal Data: from Representation to Knowledge
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- Vincent W. Zheng
Engineering Graph Features via Network Functional Blocks
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- Jun Zhu
Probabilistic Machine Learning: Models, Algorithms and a Programming Library