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Uday V. Shanbhag
Uday V. Shanbhag
Professor, Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI.
Geverifieerd e-mailadres voor umich.edu - Homepage
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Distributed algorithms for aggregative games on graphs
J Koshal, A Nedić, UV Shanbhag
Operations Research 64 (3), 680-704, 2016
3322016
Multiuser optimization: Distributed algorithms and error analysis
J Koshal, A Nedić, UV Shanbhag
SIAM Journal on Optimization 21 (3), 1046-1081, 2011
1962011
On the variational equilibrium as a refinement of the generalized Nash equilibrium
AA Kulkarni, UV Shanbhag
Automatica 48 (1), 45-55, 2012
1922012
Regularized iterative stochastic approximation methods for stochastic variational inequality problems
J Koshal, A Nedic, UV Shanbhag
IEEE Transactions on Automatic Control 58 (3), 594-609, 2012
1792012
Synchronization of coupled oscillators is a game
H Yin, PG Mehta, SP Meyn, UV Shanbhag
IEEE Transactions on Automatic Control 57 (4), 920-935, 2011
1782011
Nash equilibrium problems with scaled congestion costs and shared constraints
H Yin, UV Shanbhag, PG Mehta
IEEE transactions on automatic control 56 (7), 1702-1708, 2011
1752011
On stochastic gradient and subgradient methods with adaptive steplength sequences
F Yousefian, A Nedić, UV Shanbhag
Automatica 48 (1), 56-67, 2012
1742012
On the characterization of solution sets of smooth and nonsmooth convex stochastic Nash games
U Ravat, UV Shanbhag
SIAM Journal on Optimization 21 (3), 1168-1199, 2011
1412011
Distributed computation of equilibria in monotone Nash games via iterative regularization techniques
A Kannan, UV Shanbhag
SIAM Journal on Optimization 22 (4), 1177-1205, 2012
1282012
Optimal stochastic extragradient schemes for pseudomonotone stochastic variational inequality problems and their variants
A Kannan, UV Shanbhag
Computational Optimization and Applications 74 (3), 779-820, 2019
952019
On smoothing, regularization, and averaging in stochastic approximation methods for stochastic variational inequality problems
F Yousefian, A Nedić, UV Shanbhag
Mathematical Programming 165, 391-431, 2017
932017
A shared-constraint approach to multi-leader multi-follower games
AA Kulkarni, UV Shanbhag
Set-valued and variational analysis 22, 691-720, 2014
892014
A complementarity framework for forward contracting under uncertainty
UV Shanbhag, G Infanger, PW Glynn
Operations Research 59 (4), 810-834, 2011
842011
Nonlinear stabilization via control Lyapunov measure
U Vaidya, PG Mehta, UV Shanbhag
IEEE Transactions on Automatic Control 55 (6), 1314-1328, 2010
822010
A gossip algorithm for aggregative games on graphs
J Koshal, A Nedić, UV Shanbhag
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 4840-4845, 2012
752012
Addressing supply-side risk in uncertain power markets: stochastic Nash models, scalable algorithms and error analysis
A Kannan, UV Shanbhag, HM Kim
Optimization Methods and Software 28 (5), 1095-1138, 2013
692013
On the solution of affine generalized Nash equilibrium problems with shared constraints by Lemke’s method
DA Schiro, JS Pang, UV Shanbhag
Mathematical Programming 142 (1), 1-46, 2013
662013
On synchronous, asynchronous, and randomized best-response schemes for stochastic Nash games
J Lei, UV Shanbhag, JS Pang, S Sen
Mathematics of Operations Research 45 (1), 157-190, 2020
652020
An existence result for hierarchical Stackelberg v/s Stackelberg games
AA Kulkarni, UV Shanbhag
IEEE Transactions on Automatic Control 60 (12), 3379-3384, 2015
642015
Dynamic competitive equilibria in electricity markets
G Wang, M Negrete-Pincetic, A Kowli, E Shafieepoorfard, S Meyn, ...
Control and optimization methods for electric smart grids, 35-62, 2011
632011
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