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Recent Publications
A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization
Jalilzadeh, A., Nedić, A., Shanbhag, U. V. & Yousefian, F., Feb 2022, In: Mathematics of Operations Research. 47, 1, p. 690-719 30 p.Research output: Contribution to journal › Article › peer-review
On the Analysis of Inexact Augmented Lagrangian Schemes for Misspecified Conic Convex Programs
Aybat, N. S., Ahmadi, H. & Shanbhag, U. V., 2021, (Accepted/In press) In: IEEE Transactions on Automatic Control.Research output: Contribution to journal › Article › peer-review
On the Analysis of Variance-reduced and Randomized Projection Variants of Single Projection Schemes for Monotone Stochastic Variational Inequality Problems
Cui, S. & Shanbhag, U. V., Jun 2021, In: Set-Valued and Variational Analysis. 29, 2, p. 453-499 47 p.Research output: Contribution to journal › Article › peer-review
Tractable ADMM schemes for computing KKT points and local minimizers for ℓ -minimization problems
Xie, Y. & Shanbhag, U. V., Jan 2021, In: Computational Optimization and Applications. 78, 1, p. 43-85 43 p.Research output: Contribution to journal › Article › peer-review
On the resolution of misspecified convex optimization and monotone variational inequality problems
Ahmadi, H. & Shanbhag, U. V., Sep 1 2020, In: Computational Optimization and Applications. 77, 1, p. 125-161 37 p.Research output: Contribution to journal › Article › peer-review
Asynchronous schemes for stochastic and misspecified potential games and nonconvex optimization
Lei, J. & Shanbhag, U. V., Dec 2020, In: Operations Research. 68, 6, p. 1742-1766 25 p.Research output: Contribution to journal › Article › peer-review
Asynchronous variance-reduced block schemes for composite non-convex stochastic optimization: block-specific steplengths and adapted batch-sizes
Lei, J. & Shanbhag, U. V., 2020, (Accepted/In press) In: Optimization Methods and Software.Research output: Contribution to journal › Article › peer-review
On synchronous, asynchronous, and randomized best-response schemes for stochastic Nash games
Lei, J., Shanbhag, U. V., Pang, J. S. & Sen, S., Feb 2020, In: Mathematics of Operations Research. 45, 1, p. 157-190 34 p.Research output: Contribution to journal › Article › peer-review
SI-ADMM: A Stochastic Inexact ADMM Framework for Stochastic Convex Programs
Xie, Y. & Shanbhag, U. V., Jun 2020, In: IEEE Transactions on Automatic Control. 65, 6, p. 2355-2370 16 p., 8897605.Research output: Contribution to journal › Article › peer-review