Airlie Chapman
Artificial Intelligence · 2013
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
- Optimization & Training — 7 citations into it
Whom Airlie Chapman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Airlie Chapman overall
Papers from Airlie Chapman's perspective
Ordered by how strongly the researchers Airlie Chapman trusts endorse each paper. Same corpus, a different order for every researcher.
- Logarithmic regret algorithms for online convex optimization
- Primal-dual subgradient methods for convex problems
- Online Learning and Online Convex Optimization
- Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization
- Introduction to Online Optimization
- Distributed Subgradient Methods for Convex Optimization Over Random Networks
- Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties
- Mirror descent and nonlinear projected subgradient methods for convex optimization
- Economic inequality and burden-sharing in the provision of local environmental quality
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Online distributed optimization via dual averaging (2013) — 150 citations