Publication Scalable Hierarchical Clustering via Tree Grafting Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael Glass, Andrew McCallum Knowledge Discovery and Data Mining | August 2019
Publication Decentralized & Collaborative AI on Blockchain Justin D. Harris, Bo Waggoner 2019 IEEE International Conference on Blockchain (Blockchain) | July 2019 Github Project
Publication Owning Ethics: Corporate Logics, Silicon Valley, and the Institutionalization of Ethics Jacob Metcalf, Emanuel Moss, danah boyd Johns Hopkins University Press | July 2019, Vol 86(2): pp. 449-476
Publication Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang Conference on Learning Theory | June 2019 Project
Publication Using Search Queries to Understand Health Information Needs in Africa Rediet Abebe, Shawndra Hill, Jennifer Wortman Vaughan, Peter M. Small, H. Andrew Schwartz Proceedings of the International AAAI Conference on Web and Social Media | June 2019
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 Project
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 Project
Publication Orthogonal Random Forest for Causal Inference Vasilis Syrgkanis, Steven Wu International Conference on Machine Learning | June 2019 Project Project
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
Research
Research