Amir Daneshmand

2 papers · 2019–2021 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

ICML (1) JMLR (1)

Top co-authors

Gesualdo Scutari (2) Pavel Dvurechensky (1) Brian M. Sadler (1) Alexander Gasnikov (1) Ying Sun (1) Francisco Facchinei (1)

Research topics

Machine Learning (2) Optimization & Theory · Machine Learning (2) Deep Learning (1) Mathematics & Optimization (1) Core Methods (1) Optimization (1) Optimization & Theory · Deep Learning (1)

Keywords

dictionary learning (1) non-convex optimization (1) communication complexity (1) decentralized optimization (1) distributed optimization (1) empirical risk minimization (1) successive convex approximation (1) gradient tracking (1) consensus algorithm (1) cubic regularization (1) newton method (1) multi-agent network (1) time-varying graph (1) statistical precision (1) networked agent (1)

Papers

Newton Method over Networks is Fast up to the Statistical Precision ICML 2021 Decentralized Dictionary Learning Over Time-Varying Digraphs JMLR 2019