Tech Reports

Yuan Li, Garvesh Raskutti, Rebecca Willett, Graph-based regularization for regression problems with highly-correlated designs,, 2018, submitted.

Clément W. Royer, Michael O’Neill, Stephen J. Wright, A Newton-CG Algorithm with Complexity Guarantees for Smooth Unconstrained Optimization,, March, 2018. Submitted.

Benjamin Mark, Garvesh Raskutti, Rebecca Willett, Network Estimation from Point Process Data,, February 2018, submitted to IEEE Transactions on Information Theory.

Xiaomin Zhang, Xuezhou Zhang, Xiaojin Zhu, Po-Ling Loh, Theoretical support of machine learning debugging via weighted M-estimation, January 2018, submitted.

Zachary Charles, Amin Jalali, Rebecca Willett, Subspace Clustering with Missing and Corrupted Data, January 2018 

Xuezhou Zhang, Xiaojin Zhu, Stephen J. Wright, Training set debugging using trusted items, January, 2018, , AAAI 2018.

Kwang-Sung Jun, Francesco Orabona, Stephen Wright, Rebecca Willett, Online Learning for Changing Environments using Coin Betting November, 2017, . To appear in Online Journal of Statistics.

Royer, C. and Wright, S. J., Complexity analysis of second-order line-search algorithms for smooth nonconvex optimization, November, 2017 SIAM Journal on Optimization.

O’Neill, M. and Wright, S. J., Behavior of accelerated gradient methods near critical points of nonconvex functions,, June 2017 submitted.