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Stephen J. Wright is a Professor of Computer Sciences at the University of Wisconsin-Madison. His research is on computational optimization and its applications to many areas of science and engineering. Prior to joining UW-Madison in 2001, Wright was a Senior Computer Scientist at Argonne National Laboratory (1990-2001), and a Professor of Computer Science at the University of Chicago (2000-2001). During 2007-2010, he served as chair of the Mathematical Optimization Society, and is on the Board of the Society for Industrial and Applied Mathematics (SIAM). He is a Fellow of SIAM.
Wright is the author or coauthor of widely used text / reference books in optimization including “Primal Dual Interior-Point Methods” (SIAM, 1997) and “Numerical Optimization” (2nd Edition, Springer, 2006, with J. Nocedal). He has published widely on optimization theory, algorithms, software, and applications. He is coauthor of widely used software for linear and quadratic programming and for compressed sensing.
Wright currently serves on the editorial boards of the leading journals in optimization (SIAM Journal on Optimization and Mathematical Programming, Series A) as well as SIAM Review. He served a term as editor-in-chief of Mathematical Programming, Series B from 2003-2007.
Optimization Algorithms in Machine Learning
as author at 24th Annual Conference on Neural Information Processing Systems (NIPS), Vancouver 2010,
Optimization in Learning and Data Analysis
as author at 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Chicago 2013,
Optimization in Machine Learning: Recent Developments and Current Challenges
as author at NIPS Workshop on Optimization for Machine Learning, Whistler 2008,
Optimization Algorithms in Support Vector Machines
as author at Machine Learning Summer School (MLSS), Chicago 2009,