Srikrishna Sridhar

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Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinVerified email at cs.wisc.edu
Ji LiuMetaVerified email at meta.com
Christopher RéComputer Science, Stanford UniversityVerified email at cs.stanford.edu
Victor BittorfFacebookVerified email at fb.com
Jeff LinderothUniversity of Wisconsin-Madison. Wisconsin Institute for DiscoveryVerified email at wisc.edu
James LuedtkeProfessor, Ind. & Sys. Engr and Wisconsin Institute for Discovery, UW-MadisonVerified email at wisc.edu
Prof. Sanjay JhaProfessor, School of Computer Science and Engineering, University of New South WalesVerified email at cse.unsw.edu.au
Jun GuoDongguan University of TechnologyVerified email at ieee.org
Stephen RobinsonProfessor Emeritus of Industrial & Systems Engineering, University of Wisconsin-MadisonVerified email at wisc.edu
Patricia Flatley BrennanUniversity of Wisconsin-Madison, Wisconsin Institute for DiscoveryVerified email at discovery.wisc.edu
Fred ManneringProfessor of Civil and Environmental Engineering, University of South FloridaVerified email at usf.edu

Srikrishna Sridhar

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Machine Learning Optimization


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An Asynchronous Parallel Stochastic Coordinate Descent Algorithm SS Ji Liu, Stephen J. Wright, Christopher Re, Victor Bittorf ICML, 2014	452*	2014
An asynchronous parallel randomized kaczmarz algorithm J Liu, SJ Wright, S Sridhar arXiv preprint arXiv:1401.4780, 2014	73	2014
Locally ideal formulations for piecewise linear functions with indicator variables S Sridhar, J Linderoth, J Luedtke Operations Research Letters 41 (6), 627-632, 2013	52	2013
Channel assignment in multi-radio wireless mesh networks: A graph-theoretic approach S Sridhar, J Guo, S Jha 2009 First International Communication Systems and Networks and Workshops, 1-10, 2009	51	2009
Integer solution to synthesis of communication networks S Sridhar, R Chandrasekaran Mathematics of Operations Research 17 (3), 581-585, 1992	32	1992
Optimizing financial effects of HIE: a multi-party linear programming approach S Sridhar, PF Brennan, SJ Wright, SM Robinson Journal of the American Medical Informatics Association 19 (6), 1082-1088, 2012	31	2012
An Approximate, Efficient Solver for LP Rounding S Sridhar, S Wright, C Re, J Liu, V Bittorf, C Zhang Advances in Neural Information Processing Systems, 2895-2903, 2013	28	2013
Models and solution techniques for production planning problems with increasing byproducts S Sridhar, J Linderoth, J Luedtke Journal of Global Optimization 59, 597-631, 2014	15*	2014
Data Visualization machine learning model performance US Patent 11,580,444, 0	6*
Integration of learning models into a software development system US Patent 11,614,922, 0	4*
Mixed-Integer programming approaches for some non-convex and combinatorial optimization problems. S Sridhar University of Wisconsin-Madison, 2014	1	2014
Locally Ideal Formulations for Piecewise Linear Functions with Indicator Variables J Linderoth, J Luedtke, S Sridhar		2013
Locally Ideal Formulations for Piecewise Linear Functions with Indicator Variables J Luedtke, J Linderoth, S Sridhar		2013

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