Yuchen Wu

Optimization & Training · with Byrd · 2012

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 12 citations into it; #1,385 of 2,601 by trust here, #1,237 by citations
• Artificial Intelligence — 9 citations into it; #15,335 of 35,345 by trust here, #13,353 by citations
• Computational Mechanics — 8 citations into it; #4,019 of 10,001 by trust here, #2,447 by citations

Whom Yuchen Wu trusts overall

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

1. Yurii E. Nesterov
2. David L. Donoho
3. James Martens

Who trusts Yuchen Wu overall

1. James Martens
2. Farbod Roosta-Khorasani

Papers from Yuchen Wu's perspective

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

1. A Stochastic Approximation Method
2. The Tradeoffs of Large Scale Learning
3. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
4. Sparse Reconstruction by Separable Approximation
5. Deep learning via Hessian-free optimization
6. Acceleration of stochastic approximation by averaging
7. Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization
8. Distributed delayed stochastic optimization
9. Primal-dual subgradient methods for convex problems
10. Optimal Distributed Online Prediction Using Mini-Batches

Their papers

• Sample size selection in optimization methods for machine learning (2012) — 433 citations