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Author Information
Chaobing Song (University of Wisconsin-Madison)
Cheuk Yin Lin (Department of Computer Science, University of Wisconsin, Madison)
Stephen Wright (UW-Madison)
Steve Wright is a Professor of Computer Sciences at the University of Wisconsin-Madison. His research interests lie in computational optimization and its applications to science and engineering. Prior to joining UW-Madison in 2001, Wright was a Senior Computer Scientist (1997-2001) and Computer Scientist (1990-1997) at Argonne National Laboratory, and Professor of Computer Science at the University of Chicago (2000-2001). 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 co-author of four widely used books in numerical optimization, including "Primal Dual Interior-Point 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 interior-point 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).
Jelena Diakonikolas (University of Wisconsin-Madison)
More from the Same Authors
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2022 : BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach »
Mao Ye · Bo Liu · Stephen Wright · Peter Stone · Qiang Liu -
2022 Workshop: Order up! The Benefits of Higher-Order Optimization in Machine Learning »
Albert Berahas · Jelena Diakonikolas · Jarad Forristal · Brandon Reese · Martin Takac · Yan Xu -
2022 Poster: A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data »
Jelena Diakonikolas · Chenghui Li · Swati Padmanabhan · Chaobing Song -
2022 Poster: Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions »
Xufeng Cai · Chaobing Song · Cristóbal Guzmán · Jelena Diakonikolas -
2022 Poster: BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach »
Bo Liu · Mao Ye · Stephen Wright · Peter Stone · Qiang Liu -
2020 Poster: Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization »
Chaobing Song · Yong Jiang · Yi Ma -
2020 Poster: Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities »
Chaobing Song · Zhengyuan Zhou · Yichao Zhou · Yong Jiang · Yi Ma -
2020 Oral: Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent »
Benjamin Recht · Christopher Ré · Stephen Wright · Feng Niu -
2020 Poster: Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction »
Yaodong Yu · Kwan Ho Ryan Chan · Chong You · Chaobing Song · Yi Ma -
2019 : Second-order methods for nonconvex optimization with complexity guarantees »
Stephen Wright -
2018 Poster: ATOMO: Communication-efficient Learning via Atomic Sparsification »
Hongyi Wang · Scott Sievert · Shengchao Liu · Zachary Charles · Dimitris Papailiopoulos · Stephen Wright -
2017 Poster: k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms »
Cong Han Lim · Stephen Wright -
2014 Poster: Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems »
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: Log-Linear 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 Lock-Free 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