Anatoli Iouditski
Artificial Intelligence · 2010
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it; #16,156 of 35,345 by trust here, #25,040 by citations
- Optimization & Training — 6 citations into it
- Computational Mechanics — 5 citations into it; #4,261 of 10,001 by trust here, #6,287 by citations
Whom Anatoli Iouditski trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Anatoli Iouditski overall
- Lijun Zhang
- Alexander Rakhlin
- Ohad Shamir
- Saeed Ghadimi
- Mehrdad Mahdavi
- Elad Hazan
- Rong Jin
- Karthik Sridharan
- Francis R. Bach
- Alekh Agarwal
Papers from Anatoli Iouditski's perspective
Ordered by how strongly the researchers Anatoli Iouditski trusts endorse each paper. Same corpus, a different order for every researcher.
- Stochastic Approximation approach to Stochastic Programming
- Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization
- Information-Based Complexity, Feedback and Dynamics in Convex Programming
- Information-Theoretic Lower Bounds on the Oracle Complexity of Stochastic Convex Optimization
- A Stochastic Approximation Method
- Lectures on modern convex optimization - analysis, algorithms, and engineering applications
- Mirror descent and nonlinear projected subgradient methods for convex optimization
- Acceleration of stochastic approximation by averaging
- An algorithm for quadratic programming
- Primal-dual subgradient methods for convex problems
Their papers
- Primal-dual subgradient methods for minimizing uniformly convex functions (2010) — 92 citations