Uday V. Shanbhag
Optimization & Training · 2011–2016
A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 28 citations into it
- Computer Networks and Communications — 20 citations into it; #5,471 of 9,886 by trust here, #9,214 by citations
- Artificial Intelligence — 18 citations into it; #27,492 of 35,345 by trust here, #27,551 by citations
- Management Science and Operations Research — 17 citations into it; #9,100 of 11,946 by trust here, #8,062 by citations
- Computational Theory and Mathematics — 14 citations into it
- Mathematical Optimization — 13 citations into it
- Computational Mechanics — 12 citations into it; #7,805 of 10,001 by trust here, #8,258 by citations
- Numerical Analysis — 11 citations into it
Whom Uday V. Shanbhag trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Angelia Nedić
- Anatoli B. Juditsky
- Saeed Ghadimi
- Arkadi Nemirovski
- Guanghui Lan
- Vivek Shripad Borkar
- David Ruppert
- Francisco Facchinei
- Boris Polyak
- John N. Tsitsiklis
Who trusts Uday V. Shanbhag overall
Papers from Uday V. Shanbhag's perspective
Ordered by how strongly the researchers Uday V. Shanbhag trusts endorse each paper. Same corpus, a different order for every researcher.
- A Stochastic Approximation Method
- Stochastic Approximation approach to Stochastic Programming
- Prox-Method with Rate of Convergence O(1/t) for Variational Inequalities with Lipschitz Continuous Monotone Operators and Smooth Convex-Concave Saddle Point Problems
- Problems in decentralized decision making and computation
- Randomized gossip algorithms
- Distributed Subgradient Methods for Multi-Agent Optimization
- Potential Games
- Distributed Asynchronous Incremental Subgradient Methods
- Solving variational inequalities with Stochastic Mirror-Prox algorithm
- Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization, II: Shrinking Procedures and Optimal Algorithms
Their papers
- On stochastic gradient and subgradient methods with adaptive steplength sequences (2011) — 158 citations
- Optimal stochastic extragradient schemes for pseudomonotone stochastic variational inequality problems and their variants (2014) — 106 citations
- Distributed Algorithms for Aggregative Games on Graphs (2016) — 328 citations