Gayane Vardoyan

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Optimization & Training — 8 citations into it
• Computational Mechanics — 6 citations into it

Whom Gayane Vardoyan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Brendan D. McKay
2. Angelia Nedić

Papers from Gayane Vardoyan's perspective

Ordered by how strongly the researchers Gayane Vardoyan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
2. Distributed Subgradient Methods for Multi-Agent Optimization
3. Convex Optimization: Algorithms and Complexity
4. Scaling Distributed Machine Learning with the Parameter Server
5. Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling
6. Searching for exotic particles in high-energy physics with deep learning
7. Effective Straggler Mitigation: Attack of the Clones
8. Uniform Generation of Random Regular Graphs of Moderate Degree
9. Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization
10. Near-Optimal Straggler Mitigation for Distributed Gradient Methods

Their papers

• The Role of Network Topology for Distributed Machine Learning (2019) — 59 citations