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NeurIPS 2019
A number of ICME graduate students and affiliated faculty attended and gave presentations at the Neural Information Processing Systems (NeurIPS) 2019 Conference.
A number of ICME graduate students and affiliated faculty attended and gave presentations at the Neural Information Processing Systems (NeurIPS) 2019 Conference. Here are some of their papers:
- Almost Horizon-Free Structure-Aware Best Policy identification with a Generative Model - Andrea Zanette, Mykel J. Kochenderfer & Emma Brunskill
- Distributional Reinforcement Learning for Energy-Based Sequential Models - Tetiana Parshakova, Jean-Marc Andreoli & Marc Dymetman
- Hyperbolic Graph Convolutional Neural Networks - Ines Chami, Zhitao Ying, Christopher Ré & Jure Leskovec
- Learning Mean-Field Games- Xin Guo, Anran Hu, Renyuan Xu, Junzi Zhang
- Limiting Extrapolation in Linear Approximate Value Iteration - Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer & Emma Brunskill
- Low-Dimensional Knowledge Graph Embeddings via Hyperbolic Rotations - Ines Chami, Adva Wolf, Frederic Sala & Christopher Ré
- Multivariate Distributionally Robust Convex Regression under Absolute Error Loss - Jose Blanchet, Peter Glynn, Jun Yan, & Zhengqing Zhou
- Multiview Aggregation for Learning Category-Specific Shape Reconstruction -Srinath Sridhar, Davis Rempe, Leonidas J Guibas
