Mingyi Hong

Computational Mechanics · with Chang · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 13 citations into it
• Computer Networks and Communications — 12 citations into it
• Optimization & Training — 10 citations into it

Whom Mingyi Hong trusts overall

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

1. Neal Parikh
2. Stephen P. Boyd
3. Angelia Nedić
4. Asuman E. Ozdaglar

Papers from Mingyi Hong's perspective

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

1. Proximal Algorithms
2. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
3. Constrained Consensus and Optimization in Multi-Agent Networks
4. Partial Solutions Manual Parallel and Distributed Computation : Numerical Methods
5. Regression Shrinkage and Selection via the Lasso
6. Atomic Decomposition by Basis Pursuit
7. Problems in decentralized decision making and computation
8. Mirror descent and nonlinear projected subgradient methods for convex optimization
9. Finite-Dimensional Variational Inequalities and Complementarity Problems
10. Monotone Operators and the Proximal Point Algorithm

Their papers

• Multi-Agent Distributed Optimization via Inexact Consensus ADMM (2014)