Tengfei Zhou

Optimization & Training · with Mokhtari · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 14 citations into it
• Computer Networks and Communications — 11 citations into it
• Artificial Intelligence — 8 citations into it
• Computational Mechanics — 8 citations into it
• Mathematical Optimization — 5 citations into it

Whom Tengfei Zhou trusts overall

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

1. Aaron Defazio
2. Wei Shi
3. Qing Ling
4. Kun Yuan
5. Angelia Nedić
6. Aryan Mokhtari
7. Rie Johnson

Papers from Tengfei Zhou's perspective

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

1. Accelerating Stochastic Gradient Descent using Predictive Variance Reduction
2. Distributed Subgradient Methods for Multi-Agent Optimization
3. Distributed Asynchronous Deterministic and Stochastic Gradient Optimization Algorithms
4. SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
5. On the Linear Convergence of the ADMM in Decentralized Consensus Optimization
6. On the Convergence of Decentralized Gradient Descent
7. Parallel and distributed computation
8. A Proximal Gradient Algorithm for Decentralized Composite Optimization
9. Decentralized consensus optimization with asynchrony and delays
10. Minimizing finite sums with the stochastic average gradient

Their papers

• Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication (2018) — 60 citations