Publication DeepAttest: An End-to-End Attestation Framework for Deep Neural Networks Huili Chen, Cheng Fu, Bita Darvish Rouhani, Jishen Zhao, Farinaz Koushanfar International Symposium on Computer Architecture (ISCA) | June 2019
Publication Dead-ends and Secure Exploration in Reinforcement Learning Mehdi Fatemi, Shikhar Sharma, Harm van Seijen, Samira Ebrahimi Kahou Proceedings of the 36th International Conference on Machine Learning (ICML) | June 2019 Spotlight Presentation Github
Publication Provably efficient RL with Rich Observations via Latent State Decoding Simon Du, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal, Miro Dudík, John Langford International Conference on Machine Learning | June 2019 Projet
Publication Multi-Task Deep Neural Networks for Natural Language Understanding Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao ACL 2019 | June 2019 Projet
Publication Exploring Word Representations on Time Expression Recognition Sanxing Chen, Guoxin Wang, Börje F. Karlsson MSR-TR-2019-46 | June 2019 Publié par Microsoft Research Projet
Publication Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches Wen Sun, Nan Jiang, Akshay Krishnamurthy, Alekh Agarwal, John Langford Conference on Learning Theory | June 2019 Projet
Publication Orthogonal Random Forest for Causal Inference Vasilis Syrgkanis, Steven Wu International Conference on Machine Learning | June 2019 Projet Projet
Publication Disagreement-based combinatorial pure exploration: Sample complexity bounds and an efficient algorithm Tongyi Cao, Akshay Krishnamurthy Conference on Learning Theory | June 2019
Publication Myopic posterior sampling for adaptive goal oriented design of experiments Kirthevasan Kandasamy, Willie Neiswanger, Reed Zhang, Akshay Krishnamurthy, Jeff Schneider, Barnabas Poczos International Conference on Machine Learning | June 2019
Publication A Causal View on Robustness of Neural Networks Cheng Zhang, Yingzhen Li June 2019 ICML Workshop on Understanding and Improving Generalization in Deep Learning | June 2019 Projet