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Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Collaborative Proposal: Hierarchical programs under uncertainty: Risk, Discreteness, and Distributed
7/1/22 → …
Project: Research project
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6th INFORMS Simulation Society Research Workshop; University Park, Pennsylvania; June 22-24, 2020
Shanbhag, U., Barton, R. R. & Song, E. E.
10/1/17 → 9/30/21
Project: Research project
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Efficient and Scalable Methods for Multi-Stage Transmission Expansion under Uncertainty
9/1/17 → 8/31/21
Project: Research project
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Collaborative Research: Nash Equilibrium Problems under Uncertainty
8/15/15 → 7/31/18
Project: Research project
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Complexity guarantees for an implicit smoothing-enabled method for stochastic MPECs
Cui, S., Shanbhag, U. V. & Yousefian, F., Apr 2023, In: Mathematical Programming. 198, 2, p. 1153-1225 73 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
On the computation of equilibria in monotone and potential stochastic hierarchical games
Cui, S. & Shanbhag, U. V., Apr 2023, In: Mathematical Programming. 198, 2, p. 1227-1285 59 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Probability maximization via Minkowski functionals: convex representations and tractable resolution
Bardakci, I. E., Jalilzadeh, A., Lagoa, C. & Shanbhag, U. V., May 2023, In: Mathematical Programming. 199, 1-2, p. 595-637 43 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Variance-Reduced Splitting Schemes for Monotone Stochastic Generalized Equations
Cui, S. & Shanbhag, U. V., Nov 1 2023, In: IEEE Transactions on Automatic Control. 68, 11, p. 6636-6648 13 p.Research output: Contribution to journal › Article › peer-review
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Asynchronous variance-reduced block schemes for composite non-convex stochastic optimization: block-specific steplengths and adapted batch-sizes
Lei, J. & Shanbhag, U. V., 2022, In: Optimization Methods and Software. 37, 1, p. 264-294 31 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations