Angelia Nedich - Google Scholar

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Asuman OzdaglarEECS, MITVerified email at mit.edu
Alex OlshevskyAssociate Professor, Boston UniversityVerified email at bu.edu
Dimitri BertsekasMassachusetts Institute of TechnologyVerified email at mit.edu
Uday V. ShanbhagProfessor, Industrial and Manufacturing Engineering, Pennsylvania State UniversityVerified email at psu.edu
Venugopal V. VeeravalliHenry Magnuski Professor, ECE, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Sundhar Ram SrinivasanFacebookVerified email at fb.com
Behrouz TouriAssistant ProfessorVerified email at ucsd.edu
Tamer BaşarSwanlund Endowed Chair & CAS Professor of Electrical and Computer EngineeringVerified email at illinois.edu
César A. UribeMassachusetts Institute of TechnologyVerified email at mit.edu
Ji LiuStony Brook UniversityVerified email at stonybrook.edu
Soomin LeeYahoo! LabsVerified email at yahoo-inc.com
Farzad YousefianAssistant Professor, Oklahoma State UniversityVerified email at okstate.edu
Wei (Wilbur) ShiPostdoctoral Research Associate, Princeton UniversityVerified email at princeton.edu
Jayash KoshalApplied Scientist, Amazon.comVerified email at illinois.edu
Anna ScaglioneProfessor of Electrical and Computer Engineering, ASUVerified email at asu.edu
Carolyn L BeckProfessor of Industrial Engineering, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Pablo A. ParriloProfessor of Electrical Engineering and Computer Science, Massachusetts Institute of TechnologyVerified email at mit.edu
John TsitsiklisProfessor of Electrical Engineering, MITVerified email at mit.edu
Philip E. ParéPurdue UniversityVerified email at purdue.edu
kunal srivastavaUniversity of Illinois Urbana-Champaign, United Technologies Research CenterVerified email at utrc.utc.com

Angelia Nedich

Professor, Arizona State University

Verified email at asu.edu

nonlinear programming convex optimization variational inequalities complex networks


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Convex analysis and optimization (conservative) D Bertsekas, A Nedic Athena Scientific, 2003	2440	2003
Distributed subgradient methods for multi-agent optimization A Nedic, A Ozdaglar IEEE Transactions on Automatic Control 54 (1), 48-61, 2009	2225	2009
Constrained consensus and optimization in multi-agent networks A Nedic, A Ozdaglar, PA Parrilo IEEE Transactions on Automatic Control 55 (4), 922-938, 2010	1361	2010
Incremental subgradient methods for nondifferentiable optimization A Nedic, DP Bertsekas SIAM Journal on Optimization 12 (1), 109-138, 2001	631	2001
Distributed optimization over time-varying directed graphs A Nedić, A Olshevsky IEEE Transactions on Automatic Control 60 (3), 601-615, 2014	607	2014
Distributed stochastic subgradient projection algorithms for convex optimization SS Ram, A Nedić, VV Veeravalli Journal of optimization theory and applications 147 (3), 516-545, 2010	600	2010
On distributed averaging algorithms and quantization effects A Nedic, A Olshevsky, A Ozdaglar, JN Tsitsiklis IEEE Transactions on automatic control 54 (11), 2506-2517, 2009	542	2009
Athena Scientific optimization and computation series D Bertsekas, A Nedić, AE Ozdaglar Athena Scientific, 1999	376	1999
Approximate primal solutions and rate analysis for dual subgradient methods A Nedić, A Ozdaglar SIAM Journal on Optimization 19 (4), 1757-1780, 2009	334	2009
Achieving geometric convergence for distributed optimization over time-varying graphs A Nedic, A Olshevsky, W Shi SIAM Journal on Optimization 27 (4), 2597-2633, 2017	319	2017
Subgradient methods for saddle-point problems A Nedić, A Ozdaglar Journal of optimization theory and applications 142 (1), 205-228, 2009	307	2009
Distributed asynchronous constrained stochastic optimization K Srivastava, A Nedic IEEE Journal of Selected Topics in Signal Processing 5 (4), 772-790, 2011	276	2011
Convergence rate of incremental subgradient algorithms A Nedić, D Bertsekas Stochastic optimization: algorithms and applications, 223-264, 2001	268	2001
Distributed constrained optimization by consensus-based primal-dual perturbation method TH Chang, A Nedić, A Scaglione IEEE Transactions on Automatic Control 59 (6), 1524-1538, 2014	265	2014
Incremental stochastic subgradient algorithms for convex optimization SS Ram, A Nedić, VV Veeravalli SIAM Journal on Optimization 20 (2), 691-717, 2009	235	2009
Asynchronous broadcast-based convex optimization over a network A Nedic IEEE Transactions on Automatic Control 56 (6), 1337-1351, 2010	232	2010
Least squares policy evaluation algorithms with linear function approximation A Nedić, DP Bertsekas Discrete Event Dynamic Systems 13 (1-2), 79-110, 2003	213	2003
10 cooperative distributed multi-agent A Nedic, A Ozdaglar Convex optimization in signal processing and communications 340, 2010	205	2010
Stochastic gradient-push for strongly convex functions on time-varying directed graphs A Nedić, A Olshevsky IEEE Transactions on Automatic Control 61 (12), 3936-3947, 2016	164	2016
Distributed random projection algorithm for convex optimization S Lee, A Nedic IEEE Journal of Selected Topics in Signal Processing 7 (2), 221-229, 2013	162	2013

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