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Complexity Lower Bounds Using Linear Algebra
foundations and trendsr in theoretical computer science vol. 4 nos. 1 2 2008 1 155 c 2009 s. v. lokam doi 10.15610400000011 complexity lower bounds using linear algebra satyanarayana v. lokam microsoft research india bangalore 560080 india satyamicrosoft.com abstract we survey several techniques for proving lower bounds in boolean
Complexity Lower Bounds Using Linear Algebra
foundations and trendsr in theoretical computer science vol. 4 nos. 12 2008 1155 c 2009 s. v. lokam doi 10.15610400000011 complexity lower bounds using linear algebra satyanarayana v. lokam microsoft research india bangalore 560080 india satyamicrosoft.com abstract we survey several techniques for proving lower bounds in boolean
Lower Bounds In Communication Complexity
foundations and trendsr in theoretical computer science vol. 3 no. 4 2007 263399 c 2009 t. lee and a. shraibman doi 10.15610400000040 lower bounds in communication complexity troy lee1 and adi shraibman2 1 columbia university new york ny 10027 usa troyjleegmail.com 2 department of mathematics weizmann institute rehovot 76100 israel
Complexity Of Linear Boolean Operators
foundations and trends r in theoretical computer science publishes surveys and tutorials on the foundations of computer science. the scope of the series is broad. articles in this series focus on mathematical ap proaches to topics revolving around the theme of eciency in comput ing. the list of topics below is meant to illustrate some of the
Publication Title First Author Hyper Graphs Inference ...
communication complexity roughgarden community detection and stochastic block models abbe competition and cooperative bargaining models in supply chains bernstein complexity lower bounds using linear algebra lokam complexity of linear boolean operators jukna complexity theory game theory and economics the barbados lectures roughgarden
Censor Sketch And Validate For Learning From Large Scale ...
foundations and trends in theoretical computer science vol. 10 pp. 1 157 2014. ac kf complexity is much lower than of greedy doe kf . a. krause c. guestrin. submodularity and its applications in optimized information gathering bounds also on support vector machines for regression and classification . 17
Global Initiative Of Academic Networks Gian
also discuss connections of these methods with and using graph sparsifiers. some of this work is partially covered in the speakers monograph sketching as a tool for numerical linear algebra foundations and trends in theoretical computer science vol 10 issue 1 2 pp. 1 157 2014 publisher now publishing.
Jakob Nordstrom Curriculum Vitae
seminars on theoretical computer science proof complexity mscphd level 201617 member of organizing committee for the workshop theoretical foundations of sat solving at jun 2011 synergies in lower bounds aarhus university denmark jun 2011 complexity and finite models cmf 11 paris france
