论文与出版物 Optimal and Adaptive Off-policy Evaluation in Contextual Bandits Yu-Xiang Wang, Alekh Agarwal, Miro Dudík The 34th International Conference on Machine Learning (ICML 2017) | August 2017
论文与出版物 An online hierarchical algorithm for extreme clustering Ari Kobren, Akshay Krishnamurthy, Nicholas Monath, Andrew McCallum Knowledge Discovery and Data Mining | August 2017
论文与出版物 Mapping Instructions and Visual Observations to Actions with Reinforcement Learning Dipendra Misra, John Langford, Yoav Artzi July 2017 arXiv:1704.08795v2 [cs.CL] | July 2017 项目
论文与出版物 Hyperbolic Caching: Flexible Caching for Web Applications Aaron Blankstein, Siddhartha Sen, Michael J. Freedman USENIX Annual Technical Conference (ATC) | July 2017
论文与出版物 Corralling a Band of Bandit Algorithms Alekh Agarwal, Haipeng Luo, Behnam Neyshabur, Robert E. Schapire Proceedings of the 2017 Conference on Learning Theory (COLT) | July 2017
论文与出版物 Open Problem: First-Order Regret Bounds for Contextual Bandits Alekh Agarwal, Akshay Krishnamurthy, John Langford, Haipeng Luo, Robert E. Schapire Conference on Learning Theory | July 2017
论文与出版物 Surge Pricing Solves the Wild Goose Chase Juan Camilo Castillo, Dan Knoepfle EC ’17 Proceedings of the 2017 ACM Conference on Economics and Computation | June 2017
论文与出版物 Pyramid: Enhancing selectivity in big data protection with count featurization Mathias Lecuyer, Riley Spahn, Roxana Geambasu, Tzu-Kuo Huang, Siddhartha Sen 38th IEEE Security and Privacy Symposium (IEEE S&P) | May 2017
论文与出版物 Making Contextual Decisions with Low Technical Debt Alekh Agarwal, Sarah Bird, Markus Cozowicz, Luong Hoang, John Langford, Stephen Lee, Jiaji Li, Dan Melamed, Gal Oshri, Oswaldo Ribas, Siddhartha Sen, Aleksandrs Slivkins May 2017 May 2017 项目
论文与出版物 Black-box Concurrent Data Structures for NUMA Architectures Irina Calciu, Mahesh Balakrishnan, Marcos Aguilera, Siddhartha Sen Proc. 22nd ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) | April 2017
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