Vitaly Aksenov
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Optimization & Training — 23 citations into it
- Computer Networks and Communications — 13 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Computational Mechanics — 6 citations into it
Whom Vitaly Aksenov trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Sebastian U. Stich (in Artificial Intelligence)
- Asuman E. Ozdaglar (in Computer Networks and Communications)
- Chih-Jen Lin (in Artificial Intelligence)
- Angelia Nedić (in Computer Networks and Communications)
Papers from Vitaly Aksenov's perspective
Ordered by how strongly the researchers Vitaly Aksenov trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
- LIBSVM: A library for support vector machines
- Large-Scale Machine Learning with Stochastic Gradient Descent
- Distributed Subgradient Methods for Multi-Agent Optimization
- Problems in decentralized decision making and computation
- Fast linear iterations for distributed averaging
- A Randomized Incremental Subgradient Method for Distributed Optimization in Networked Systems
- Distributed Alternating Direction Method of Multipliers
- Local SGD Converges Fast and Communicates Little
Their papers
- PopSGD: Decentralized Stochastic Gradient Descent in the Population Model (2019) — 3 citations