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On the variational equilibrium as a refinement of the generalized Nash equilibrium

Automatica (Oxford), 2012, Vol.48 (1), p.45-55

2012

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On Synchronous, Asynchronous, and Randomized Best-Response Schemes for Stochastic Nash Games

Mathematics of operations research, 2020-02, Vol.45 (1), p.157-190

2020

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On the Characterization of Solution Sets of Smooth and Nonsmooth Convex Stochastic Nash Games

SIAM journal on optimization, 2011-07, Vol.21 (3), p.1168-1199

2011

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On the existence of solutions to stochastic quasi-variational inequality and complementarity problems

Mathematical programming, 2017-09, Vol.165 (1), p.291-330

2017

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Distributed Algorithms for Aggregative Games on Graphs

Operations research, 2016-05, Vol.64 (3), p.680-704

2016

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Optimal stochastic extragradient schemes for pseudomonotone stochastic variational inequality problems and their variants

Computational optimization and applications, 2019-12, Vol.74 (3), p.779-820

2019

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Variance-Reduced Splitting Schemes for Monotone Stochastic Generalized Equations

IEEE transactions on automatic control, 2023-11, Vol.68 (11), p.1-12

2023

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Asynchronous Schemes for Stochastic and Misspecified Potential Games and Nonconvex Optimization

Operations research, 2020-11, Vol.68 (6), p.1742-1766

2020

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SI-ADMM: A Stochastic Inexact ADMM Framework for Stochastic Convex Programs

IEEE transactions on automatic control, 2020-06, Vol.65 (6), p.2355-2370

2020

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On smoothing, regularization, and averaging in stochastic approximation methods for stochastic variational inequality problems

Mathematical programming, 2017-09, Vol.165 (1), p.391-431

2017

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A Complementarity Framework for Forward Contracting Under Uncertainty

Operations research, 2011-07, Vol.59 (4), p.810-834

2011

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Virtual Bidding and Financial Transmission Rights: An Equilibrium Model for Cross-Product Manipulation in Electricity Markets

IEEE transactions on power systems, 2019-03, Vol.34 (2), p.953-967

2019

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Complexity guarantees for an implicit smoothing-enabled method for stochastic MPECs

Mathematical programming, 2023-04, Vol.198 (2), p.1153-1225

2023

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Asynchronous variance-reduced block schemes for composite non-convex stochastic optimization: block-specific steplengths and adapted batch-sizes

Optimization methods & software, 2022-01, Vol.37 (1), p.264-294

2022

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Regularized Iterative Stochastic Approximation Methods for Stochastic Variational Inequality Problems

IEEE transactions on automatic control, 2013-03, Vol.58 (3), p.594-609

2013

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On the computation of equilibria in monotone and potential stochastic hierarchical games

Mathematical programming, 2023-04, Vol.198 (2), p.1227-1285

2023

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Distributed Computation of Equilibria in Monotone Nash Games via Iterative Regularization Techniques

SIAM journal on optimization, 2012-01, Vol.22 (4), p.1177-1205

2012

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Two-stage non-cooperative games with risk-averse players

Mathematical programming, 2017-09, Vol.165 (1), p.235-290

2017

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An Existence Result for Hierarchical Stackelberg v/s Stackelberg Games

IEEE transactions on automatic control, 2015-12, Vol.60 (12), p.3379-3384

2015

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Multiuser Optimization: Distributed Algorithms and Error Analysis

SIAM journal on optimization, 2011-07, Vol.21 (3), p.1046-1081

2011

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On stochastic gradient and subgradient methods with adaptive steplength sequences

Automatica (Oxford), 2012, Vol.48 (1), p.56-67

2012

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On the Analysis of Variance-reduced and Randomized Projection Variants of Single Projection Schemes for Monotone Stochastic Variational Inequality Problems

Set-valued and variational analysis, 2021-06, Vol.29 (2), p.453-499

2021

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Self-Tuned Stochastic Approximation Schemes for Non-Lipschitzian Stochastic Multi-User Optimization and Nash Games

IEEE transactions on automatic control, 2016-07, Vol.61 (7), p.1753-1766

2016

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On the Analysis of Inexact Augmented Lagrangian Schemes for Misspecified Conic Convex Programs

IEEE transactions on automatic control, 2022-08, Vol.67 (8), p.3981-3996

2022

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A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization

Mathematics of operations research, 2022-02, Vol.47 (1), p.690-719

2022

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On the variational equilibrium as a refinement of the generalized Nash equilibrium

On Synchronous, Asynchronous, and Randomized Best-Response Schemes for Stochastic Nash Games

On the Characterization of Solution Sets of Smooth and Nonsmooth Convex Stochastic Nash Games

On the existence of solutions to stochastic quasi-variational inequality and complementarity problems

Distributed Algorithms for Aggregative Games on Graphs

Optimal stochastic extragradient schemes for pseudomonotone stochastic variational inequality problems and their variants

Variance-Reduced Splitting Schemes for Monotone Stochastic Generalized Equations

Asynchronous Schemes for Stochastic and Misspecified Potential Games and Nonconvex Optimization

SI-ADMM: A Stochastic Inexact ADMM Framework for Stochastic Convex Programs

On smoothing, regularization, and averaging in stochastic approximation methods for stochastic variational inequality problems

A Complementarity Framework for Forward Contracting Under Uncertainty

Virtual Bidding and Financial Transmission Rights: An Equilibrium Model for Cross-Product Manipulation in Electricity Markets

Complexity guarantees for an implicit smoothing-enabled method for stochastic MPECs

Asynchronous variance-reduced block schemes for composite non-convex stochastic optimization: block-specific steplengths and adapted batch-sizes

Regularized Iterative Stochastic Approximation Methods for Stochastic Variational Inequality Problems

On the computation of equilibria in monotone and potential stochastic hierarchical games

Distributed Computation of Equilibria in Monotone Nash Games via Iterative Regularization Techniques

Two-stage non-cooperative games with risk-averse players

An Existence Result for Hierarchical Stackelberg v/s Stackelberg Games

Multiuser Optimization: Distributed Algorithms and Error Analysis

On stochastic gradient and subgradient methods with adaptive steplength sequences

On the Analysis of Variance-reduced and Randomized Projection Variants of Single Projection Schemes for Monotone Stochastic Variational Inequality Problems

Self-Tuned Stochastic Approximation Schemes for Non-Lipschitzian Stochastic Multi-User Optimization and Nash Games

On the Analysis of Inexact Augmented Lagrangian Schemes for Misspecified Conic Convex Programs

A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization

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