A Local Relaxation Approach for the Siting of Electrical Substations. - Walter Murray; Uday V. Shanbhag (Comput. Optim. Appl., 2006)

A local relaxation approach for the siting of electrical substation. - Walter Murray; Uday V. Shanbhag (Comput. Optim. Appl., 2007)

Bifurcation analysis of a thalamic relay neuron model. - Huibing Yin; Charles L. Cox; Prashant G. Mehta; Uday V. Shanbhag (ACC, 2009)

Distributed multiuser optimization: Algorithms and error analysis. - Jayash Koshal; Angelia Nedic; Uday V. Shanbhag (CDC, 2009)

New insights on generalized Nash games with shared constraints: Constrained and variational equilibria. - Ankur A. Kulkarni; Uday V. Shanbhag (CDC, 2009)

Nash equilibrium problems with congestion costs and shared constraints. - Huibing Yin; Uday V. Shanbhag; Prashant G. Mehta (CDC, 2009)

On the characterization of solution sets of smooth and nonsmooth stochastic Nash games. - Uma Ravat; Uday V. Shanbhag (ACC, 2010)

Convex nondifferentiable stochastic optimization: A local randomized smoothing technique. - Farzad Yousefian; Angelia Nedic; Uday V. Shanbhag (ACC, 2010)

Distributed iterative regularization algorithms for monotone Nash games. - Aswin Kannan; Uday V. Shanbhag (CDC, 2010)

Single timescale regularized stochastic approximation schemes for monotone Nash games under uncertainty. - Jayash Koshal; Angelia Nedic; Uday V. Shanbhag (CDC, 2010)

Learning in mean-field oscillator games. - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (CDC, 2010)

Nonlinear Stabilization via Control Lyapunov Measure. - Umesh Vaidya; Prashant G. Mehta; Uday V. Shanbhag (IEEE Trans. Autom. Control., 2010)

Learning equilibria in constrained Nash-Cournot games with misspecified demand functions. - Hao Jiang; Uday V. Shanbhag; Sean P. Meyn (CDC/ECC, 2011)

Bifurcation analysis of a heterogeneous mean-field oscillator game model. - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (CDC/ECC, 2011)

Single timescale stochastic approximation for stochastic Nash games in cognitive radio systems. - Jayash Koshal; Angelia Nedic; Uday V. Shanbhag (DSP, 2011)

A regularized adaptive steplength stochastic approximation scheme for monotone stochastic variational inequalities. - Farzad Yousefian; Angelia Nedic; Uday V. Shanbhag (WSC, 2011)

A Complementarity Framework for Forward Contracting Under Uncertainty. - Uday V. Shanbhag; Gerd Infanger; Peter W. Glynn (Oper. Res., 2011)

Multiuser Optimization: Distributed Algorithms and Error Analysis. - Jayash Koshal; Angelia Nedic; Uday V. Shanbhag (SIAM J. Optim., 2011)

On the Characterization of Solution Sets of Smooth and Nonsmooth Convex Stochastic Nash Games. - Uma Ravat; Uday V. Shanbhag (SIAM J. Optim., 2011)

Nash Equilibrium Problems With Scaled Congestion Costs and Shared Constraints. - Huibing Yin; Uday V. Shanbhag; Prashant G. Mehta (IEEE Trans. Autom. Control., 2011)

On the convergence of joint schemes for online computation and supervised learning. - Hao Jiang; Uday V. Shanbhag (CDC, 2012)

A gossip algorithm for aggregative games on graphs. - Jayash Koshal; Angelia Nedic; Uday V. Shanbhag (CDC, 2012)

On Nash equilibria in duopolistic power markets subject to make-whole uplift. - Gui Wang; Uday V. Shanbhag; Sean P. Meyn (CDC, 2012)

Packaging Energy and Reserves Bids through Risk Penalties for Enhanced Reliability in Co-optimized Markets. - Michael Roytman; Uday V. Shanbhag; Judith B. Cardell; C. Lindsay Anderson (HICSS, 2012)

Real-time prices in an entropic grid. - Gui Wang; Matias Negrete-Pincetic; Anupama Kowli; Ehsan Shafieepoorfard; Sean P. Meyn; Uday V. Shanbhag (ISGT, 2012)

On the variational equilibrium as a refinement of the generalized Nash equilibrium. - Ankur A. Kulkarni; Uday V. Shanbhag (Autom., 2012)

On stochastic gradient and subgradient methods with adaptive steplength sequences. - Farzad Yousefian; Angelia Nedic; Uday V. Shanbhag (Autom., 2012)

Recourse-based stochastic nonlinear programming: properties and Benders-SQP algorithms. - Ankur A. Kulkarni; Uday V. Shanbhag (Comput. Optim. Appl., 2012)

Global Equilibria of Multi-leader Multi-follower Games with Shared Constraints - Ankur A. Kulkarni; Uday V. Shanbhag (CoRR, 2012)

Revisiting Generalized Nash Games and Variational Inequalities. - Ankur A. Kulkarni; Uday V. Shanbhag (J. Optim. Theory Appl., 2012)

Distributed Computation of Equilibria in Monotone Nash Games via Iterative Regularization Techniques. - Aswin Kannan; Uday V. Shanbhag (SIAM J. Optim., 2012)

Synchronization of Coupled Oscillators is a Game. - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (IEEE Trans. Autom. Control., 2012)

A distributed adaptive steplength stochastic approximation method for monotone stochastic Nash Games. - Farzad Yousefian; Angelia Nedic; Uday V. Shanbhag (ACC, 2013)

On the consistency of leaders' conjectures in hierarchical games. - Ankur A. Kulkarni; Uday V. Shanbhag (CDC, 2013)

On the solution of stochastic optimization problems in imperfect information regimes. - Hao Jiang; Uday V. Shanbhag (WSC, 2013)

A regularized smoothing stochastic approximation (RSSA) algorithm for stochastic variational inequality problems. - Farzad Yousefian; Angelia Nedic; Uday V. Shanbhag (WSC, 2013)

On the solution of affine generalized Nash equilibrium problems with shared constraints by Lemke's method. - Dane A. Schiro; Jong-Shi Pang; Uday V. Shanbhag (Math. Program., 2013)

Addressing supply-side risk in uncertain power markets: stochastic Nash models, scalable algorithms and error analysis. - Aswin Kannan; Uday V. Shanbhag; Harrison M. Kim (Optim. Methods Softw., 2013)

Pricing of service in clouds: optimal response and strategic interactions. - Bhuvan Urgaonkar; George Kesidis; Uday V. Shanbhag; Cheng Wang 014 (SIGMETRICS Perform. Evaluation Rev., 2013)

Regularized Iterative Stochastic Approximation Methods for Stochastic Variational Inequality Problems. - Jayash Koshal; Angelia Nedic; Uday V. Shanbhag (IEEE Trans. Autom. Control., 2013)

The pseudomonotone stochastic variational inequality problem: Analytical statements and stochastic extragradient schemes. - Aswin Kannan; Uday V. Shanbhag (ACC, 2014)

Data-driven first-order methods for misspecified convex optimization problems: Global convergence and Rate estimates. - Hesam Ahmadi; Uday V. Shanbhag (CDC, 2014)

On robust solutions to uncertain monotone linear complementarity problems (LCPs) and their variants. - Yue Xie; Uday V. Shanbhag (CDC, 2014)

Optimal robust smoothing extragradient algorithms for stochastic variational inequality problems. - Farzad Yousefian; Angelia Nedic; Uday V. Shanbhag (CDC, 2014)

A Case for Virtualizing the Electric Utility in Cloud Data Centers. - Cheng Wang 014; Bhuvan Urgaonkar; George Kesidis; Uday V. Shanbhag; Qian Wang 029 (HotCloud, 2014)

On the Efficiency of Equilibria in Mean-Field Oscillator Games. - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (Dyn. Games Appl., 2014)

The Weighted Set Covering Game: A Vaccine Pricing Model for Pediatric Immunization. - Matthew J. Robbins; Sheldon H. Jacobson; Uday V. Shanbhag; Banafsheh Behzad (INFORMS J. Comput., 2014)

On the inadequacy of VaR-based risk management: VaR, CVaR, and nonlinear interactions. - Uma Ravat; Uday V. Shanbhag; Richard B. Sowers (Optim. Methods Softw., 2014)

Learning in Mean-Field Games. - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (IEEE Trans. Autom. Control., 2014)

Distributed stochastic optimization under imperfect information. - Aswin Kannan; Angelia Nedic; Uday V. Shanbhag (CDC, 2015)

Data-driven schemes for resolving misspecified MDPs: asymptotics and error analysis. - Hao Jiang; Uday V. Shanbhag (WSC, 2015)

Budget-constrained stochastic approximation. - Uday V. Shanbhag; Jose H. Blanchet (WSC, 2015)

An Existence Result for Hierarchical Stackelberg v/s Stackelberg Games. - Ankur A. Kulkarni; Uday V. Shanbhag (IEEE Trans. Autom. Control., 2015)

On the rate analysis of inexact augmented Lagrangian schemes for convex optimization problems with misspecified constraints. - Hesam Ahmadi; Necdet Serhat Aybat; Uday V. Shanbhag (ACC, 2016)

On the analysis of reflected gradient and splitting methods for monotone stochastic variational inequality problems. - Shisheng Cui; Uday V. Shanbhag (CDC, 2016)

Inexact best-response schemes for stochastic Nash games: Linear convergence and Iteration complexity analysis. - Uday V. Shanbhag; Jong-Shi Pang; Suvrajeet Sen (CDC, 2016)

Stochastic quasi-Newton methods for non-strongly convex problems: Convergence and rate analysis. - Farzad Yousefian; Angelia Nedic; Uday V. Shanbhag (CDC, 2016)

eg-VSSA: An extragradient variable sample-size stochastic approximation scheme: Error analysis and complexity trade-offs. - Afrooz Jalilzadeh; Uday V. Shanbhag (WSC, 2016)

SI-ADMM: A stochastic inexact ADMM framework for resolving structured stochastic convex programs. - Yue Xie; Uday V. Shanbhag (WSC, 2016)

Distributed Algorithms for Aggregative Games on Graphs. - Jayash Koshal; Angelia Nedic; Uday V. Shanbhag (Oper. Res., 2016)

On the Solution of Stochastic Optimization and Variational Problems in Imperfect Information Regimes. - Hao Jiang; Uday V. Shanbhag (SIAM J. Optim., 2016)

On Robust Solutions to Uncertain Linear Complementarity Problems and their Variants. - Yue Xie; Uday V. Shanbhag (SIAM J. Optim., 2016)

Self-Tuned Stochastic Approximation Schemes for Non-Lipschitzian Stochastic Multi-User Optimization and Nash Games. - Farzad Yousefian; Angelia Nedic; Uday V. Shanbhag (IEEE Trans. Autom. Control., 2016)

A randomized inexact proximal best-response scheme for potential stochastic nash games. - Jinlong Lei; Uday V. Shanbhag (CDC, 2017)

Competition and Peak-Demand Pricing in Clouds Under Tenants' Demand Response. - George Kesidis; Uday V. Shanbhag; Neda Nasiriani; Bhuvan Urgaonkar (MASCOTS, 2017)

A smoothing stochastic quasi-newton method for non-lipschitzian stochastic optimization problems. - Farzad Yousefian; Angelia Nedic; Uday V. Shanbhag (WSC, 2017)

Two-stage non-cooperative games with risk-averse players. - Jong-Shi Pang; Suvrajeet Sen; Uday V. Shanbhag (Math. Program., 2017)

On the existence of solutions to stochastic quasi-variational inequality and complementarity problems. - Uma Ravat; Uday V. Shanbhag (Math. Program., 2017)

On smoothing, regularization, and averaging in stochastic approximation methods for stochastic variational inequality problems. - Farzad Yousefian; Angelia Nedic; Uday V. Shanbhag (Math. Program., 2017)

Probability Maximization with Random Linear Inequalities: Alternative Formulations and Stochastic Approximation Schemes. - I. E. Bardakci; Constantino Lagoa; Uday V. Shanbhag (ACC, 2018)

Linearly Convergent Variable Sample-Size Schemes for Stochastic Nash Games: Best-Response Schemes and Distributed Gradient-Response Schemes. - Jinlong Lei; Uday V. Shanbhag (CDC, 2018)

Distributed Computation of Equilibria in Misspecified Convex Stochastic Nash Games. - Hao Jiang; Uday V. Shanbhag; Sean P. Meyn (IEEE Trans. Autom. Control., 2018)

Smoothed First-order Algorithms for Expectation-valued Constrained Problems. - Afrooz Jalilzadeh; Uday V. Shanbhag (CISS, 2019)

A Proximal-Point Algorithm with Variable Sample-Sizes (PPAWSS) for Monotone Stochastic Variational Inequality Problems. - Afrooz Jalilzadeh; Uday V. Shanbhag (WSC, 2019)

Stochastic Approximation for simulation Optimization under Input Uncertainty with Streaming Data. - Eunhye Song; Uday V. Shanbhag (WSC, 2019)

Optimal stochastic extragradient schemes for pseudomonotone stochastic variational inequality problems and their variants. - Aswin Kannan; Uday V. Shanbhag (Comput. Optim. Appl., 2019)

Distributed Computation of Nash Equilibria for Monotone Aggregative Games via Iterative Regularization. - Jinlong Lei; Uday V. Shanbhag; Jie Chen 003 (CDC, 2020)

On the resolution of misspecified convex optimization and monotone variational inequality problems. - Hesam Ahmadi; Uday V. Shanbhag (Comput. Optim. Appl., 2020)

Variance-Reduced Proximal and Splitting Schemes for Monotone Stochastic Generalized Equations. - Shisheng Cui; Uday V. Shanbhag (CoRR, 2020)

Asynchronous Schemes for Stochastic and Misspecified Potential Games and Nonconvex Optimization. - Jinlong Lei; Uday V. Shanbhag (Oper. Res., 2020)

On Synchronous, Asynchronous, and Randomized Best-Response Schemes for Stochastic Nash Games. - Jinlong Lei; Uday V. Shanbhag; Jong-Shi Pang; Suvrajeet Sen (Math. Oper. Res., 2020)

On Stochastic and Deterministic Quasi-Newton Methods for Nonstrongly Convex Optimization: Asymptotic Convergence and Rate Analysis. - Farzad Yousefian; Angelia Nedic; Uday V. Shanbhag (SIAM J. Optim., 2020)

SI-ADMM: A Stochastic Inexact ADMM Framework for Stochastic Convex Programs. - Yue Xie; Uday V. Shanbhag (IEEE Trans. Autom. Control., 2020)

A relaxed-inertial forward-backward-forward algorithm for stochastic generalized Nash equilibrium seeking. - Shisheng Cui; Barbara Franci; Sergio Grammatico; Uday V. Shanbhag; Mathias Staudigl (CDC, 2021)

No-Regret Distributed Learning in Two-Network Zero-Sum Games. - Shijie Huang; Jinlong Lei; Yiguang Hong; Uday V. Shanbhag (CDC, 2021)

Tractable ADMM schemes for computing KKT points and local minimizers for $$ ell _0$$ ℓ 0 -minimization problems. - Yue Xie; Uday V. Shanbhag (Comput. Optim. Appl., 2021)

Stochastic relaxed inertial forward-backward-forward splitting for monotone inclusions in Hilbert spaces. - Shisheng Cui; Uday V. Shanbhag; Mathias Staudigl; Phan Tu Vuong (Comput. Optim. Appl., 2022)

A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization. - Afrooz Jalilzadeh; Angelia Nedic; Uday V. Shanbhag; Farzad Yousefian (Math. Oper. Res., 2022)

Asynchronous variance-reduced block schemes for composite non-convex stochastic optimization: block-specific steplengths and adapted batch-sizes. - Jinlong Lei; Uday V. Shanbhag (Optim. Methods Softw., 2022)

Distributed Variable Sample-Size Gradient-Response and Best-Response Schemes for Stochastic Nash Equilibrium Problems. - Jinlong Lei; Uday V. Shanbhag (SIAM J. Optim., 2022)

On the Analysis of Inexact Augmented Lagrangian Schemes for Misspecified Conic Convex Programs. - Necdet Serhat Aybat; Hesam Ahmadi; Uday V. Shanbhag (IEEE Trans. Autom. Control., 2022)

Global Resolution of Chance-Constrained Optimization Problems: Minkowski Functionals and Monotone Inclusions. - Peixuan Zhang; Uday V. Shanbhag; Constantino M. Lagoa; Ibrahim E. Bardakci (CDC, 2023)

Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization. - Yuyang Qiu; Uday V. Shanbhag; Farzad Yousefian (NeurIPS, 2023)

On the computation of equilibria in monotone and potential stochastic hierarchical games. - Shisheng Cui; Uday V. Shanbhag (Math. Program., 2023)

Complexity guarantees for an implicit smoothing-enabled method for stochastic MPECs. - Shisheng Cui; Uday V. Shanbhag; Farzad Yousefian (Math. Program., 2023)

Probability maximization via Minkowski functionals: convex representations and tractable resolution. - I. E. Bardakci; Afrooz Jalilzadeh; Constantino M. Lagoa; Uday V. Shanbhag (Math. Program., 2023)

Variance-Reduced Splitting Schemes for Monotone Stochastic Generalized Equations. - Shisheng Cui; Uday V. Shanbhag (IEEE Trans. Autom. Control., 2023)

Distributed Gradient Tracking Methods with Guarantees for Computing a Solution to Stochastic MPECs. - Mohammadjavad Ebrahimi; Uday V. Shanbhag; Farzad Yousefian (ACC, 2024)

Improving Dimension Dependence in Complexity Guarantees for Zeroth-Order Methods via Exponentially-Shifted Gaussian Smoothing. - Mingrui Wang; Prakash Chakraborty; Uday V. Shanbhag (WSC, 2024)

A Smoothed Augmented Lagrangian Framework for Convex Optimization with Nonsmooth Stochastic Constraints. - Peixuan Zhang; Uday V. Shanbhag (WSC, 2024)

Introduction to the Special Issue for INFORMS Simulation Society (I-Sim) Workshop, 2021. - Russell R. Barton; Marvin K. Nakayama; Uday V. Shanbhag; Eunhye Song (ACM Trans. Model. Comput. Simul., 2024)

Stochastic Approximation for Multi-period Simulation Optimization with Streaming Input Data. - Linyun He; Uday V. Shanbhag; Eunhye Song (ACM Trans. Model. Comput. Simul., 2024)

No-Regret Distributed Learning in Subnetwork Zero-Sum Games. - Shijie Huang; Jinlong Lei; Yiguang Hong; Uday V. Shanbhag; Jie Chen 003 (IEEE Trans. Autom. Control., 2024)

Computing Quasi-Nash Equilibria via Gradient-Response Schemes. - Zhuoyu Xiao; Uday V. Shanbhag (L4DC, 2025)

Data-Driven Compositional Optimization in Misspecified Regimes. - Shuoguang Yang; Ethan X. Fang; Uday V. Shanbhag (Oper. Res., 2025)

Variance-Reduced Accelerated First-Order Methods: Central Limit Theorems and Confidence Statements. - Jinlong Lei; Uday V. Shanbhag (Math. Oper. Res., 2025)

A Regularized Variance-Reduced Modified Extragradient Method for Stochastic Hierarchical Games. - Shisheng Cui; Uday V. Shanbhag; Mathias Staudigl (J. Optim. Theory Appl., 2025)

A Smoothed Augmented Lagrangian Framework for Convex Optimization with Nonsmooth Constraints. - Peixuan Zhang; Uday V. Shanbhag; Ethan X. Fang (J. Sci. Comput., 2025)