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