Timezone: »
Author Information
Chaobing Song (University of WisconsinMadison)
Cheuk Yin Lin (Department of Computer Science, 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).
Jelena Diakonikolas (University of WisconsinMadison)
More from the Same Authors

2022 : BOME! Bilevel Optimization Made Easy: A Simple FirstOrder Approach »
Mao Ye · Bo Liu · Stephen Wright · Peter Stone · Qiang Liu 
2023 Poster: NearOptimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise »
Ilias Diakonikolas · Jelena Diakonikolas · Daniel Kane · Puqian Wang · Nikos Zarifis 
2023 Poster: BlockCoordinate Methods and Restarting for Solving ExtensiveForm Games »
Darshan Chakrabarti · Jelena Diakonikolas · Christian Kroer 
2023 Poster: Robust SecondOrder Nonconvex Optimization and Its Application to Low Rank Matrix Sensing »
Shuyao Li · Yu Cheng · Ilias Diakonikolas · Jelena Diakonikolas · Rong Ge · Stephen Wright 
2022 Workshop: Order up! The Benefits of HigherOrder Optimization in Machine Learning »
Albert Berahas · Jelena Diakonikolas · Jarad Forristal · Brandon Reese · Martin Takac · Yan Xu 
2022 Poster: A Fast ScaleInvariant Algorithm for Nonnegative Least Squares with Nonnegative 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 FirstOrder Approach »
Bo Liu · Mao Ye · Stephen Wright · Peter Stone · Qiang Liu 
2020 Poster: Variance Reduction via Accelerated Dual Averaging for FiniteSum Optimization »
Chaobing Song · Yong Jiang · Yi Ma 
2020 Poster: Optimistic Dual Extrapolation for Coherent Nonmonotone Variational Inequalities »
Chaobing Song · Zhengyuan Zhou · Yichao Zhou · Yong Jiang · Yi Ma 
2020 Oral: Hogwild!: A LockFree 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 : Secondorder methods for nonconvex optimization with complexity guarantees »
Stephen Wright 
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 
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: 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