Statistical Learning
Large-Scale Methods for Distributionally Robust Optimization Daniel Levy, Y air Carmon
Nesterov acceleration to decrease the required number of gradient steps.
Maximum Entropy Monte-Carlo Planning
Chenjun Xiao, Ruitong Huang, Jincheng Mei, Dale Schuurmans, Martin Mรผller
Neural Information Processing Systems http://nips.cc/
Impossibility Results for Grammar-Compressed Linear Algebra
To handle vast amounts of data, it is natural and popular to compress vectors and matrices.
Infra-slow brain dynamics as a marker for cognitive function and decline
Shagun Ajmera Shyam Sunder Ajmera, Shreya Rajagopal, Razi Rehman, Devarajan Sridharan
Neural Information Processing Systems http://nips.cc/
Appendix
RDP accounting routines implemented in open-source libraries (e.g.
Generalized Boosting
Moreover, we identify the drawbacks of these greedy algorithms and propose new algorithms that fix these issues.
List-decodable Linear Regression
Sushrut Karmalkar, Adam Klivans, Pravesh Kothari
Our work extends this line of research. Our algorithms work in the "list-decodable learning" framework.