Jing Rong

Artificial Intelligence · 2016

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 — 9 citations into it
• Management Science and Operations Research — 8 citations into it
• Optimization & Training — 7 citations into it

Whom Jing Rong trusts overall

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

1. Yurii E. Nesterov
2. Shai Shalev-Shwartz

Papers from Jing Rong's perspective

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

1. Online Convex Programming and Generalized Infinitesimal Gradient Ascent
2. Logarithmic regret algorithms for online convex optimization
3. Beyond the regret minimization barrier: an optimal algorithm for stochastic strongly-convex optimization
4. Online Learning and Online Convex Optimization
5. Tracking the Best Expert
6. Introductory Lectures on Convex Optimization - A Basic Course
7. Iteration complexity of feasible descent methods for convex optimization
8. Optimal Stragies and Minimax Lower Bounds for Online Convex Games
9. Optimization, Learning, and Games with Predictable Sequences
10. Non-Stationary Stochastic Optimization

Their papers

• Improved Dynamic Regret for Non-degenerate Functions (2016) — 139 citations