Timezone: »
Author Information
Cong Han Lim (University of Wisconsin  Madison)
Stephen Wright (UWMadison)
Steve Wright is a Professor of Computer Sciences at the University of WisconsinMadison. His research interests lie in computational optimization and its applications to science and engineering. Prior to joining UWMadison in 2001, Wright was a Senior Computer Scientist (19972001) and Computer Scientist (19901997) at Argonne National Laboratory, and Professor of Computer Science at the University of Chicago (20002001). He is the past Chair of the Mathematical Optimization Society (formerly the Mathematical Programming Society), the leading professional society in optimization, and a member of the Board of the Society for Industrial and Applied Mathematics (SIAM). Wright is the author or coauthor of four widely used books in numerical optimization, including "Primal Dual InteriorPoint Methods" (SIAM, 1997) and "Numerical Optimization" (with J. Nocedal, Second Edition, Springer, 2006). He has also authored over 85 refereed journal papers on optimization theory, algorithms, software, and applications. He is coauthor of widely used interiorpoint software for linear and quadratic optimization. His recent research includes algorithms, applications, and theory for sparse optimization (including applications in compressed sensing and machine learning).
More from the Same Authors

2020 Oral: Hogwild!: A LockFree Approach to Parallelizing Stochastic Gradient Descent »
Benjamin Recht · Christopher RĂ© · Stephen Wright · Feng Niu 
2018 Poster: ATOMO: Communicationefficient Learning via Atomic Sparsification »
Hongyi Wang · Scott Sievert · Shengchao Liu · Zachary Charles · Dimitris Papailiopoulos · Stephen Wright 
2017 Poster: kSupport and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms »
Cong Han Lim · Stephen Wright 
2013 Poster: An Approximate, Efficient LP Solver for LP Rounding »
Srikrishna Sridhar · Stephen Wright · Christopher Re · Ji Liu · Victor Bittorf · Ce Zhang 
2012 Workshop: LogLinear Models »
Dimitri Kanevsky · Tony Jebara · Li Deng · Stephen Wright · Georg Heigold · Avishy Carmi 
2011 Workshop: Optimization for Machine Learning »
Suvrit Sra · Stephen Wright · Sebastian Nowozin 
2011 Poster: Hogwild!: A LockFree Approach to Parallelizing Stochastic Gradient Descent »
Benjamin Recht · Christopher Re · Stephen Wright · Feng Niu 
2010 Workshop: Optimization for Machine Learning »
Suvrit Sra · Sebastian Nowozin · Stephen Wright 
2010 Tutorial: Optimization Algorithms in Machine Learning »
Stephen Wright 
2009 Workshop: Optimization for Machine Learning »
Sebastian Nowozin · Suvrit Sra · S.V.N Vishwanthan · Stephen Wright