Srinivasan Arunachalam

4 papers · 2018–2023 · 3 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (10) 🌉 Interdisciplinary Bridge 🏆 Keyword Champion (2) 📈 Trend Setter

Conferences

NIPS (2) ICML (1) JMLR (1)

Top co-authors

Reevu Maity (1) Ronald de Wolf (1) Vojtech Havlicek (1) Louis Schatzki (1) John A Smolin (1) Yihui Quek (1)

Keywords

pac learning (3) quantum learning (2) quantum state (2) sample complexity (2) vc dimension (2) agnostic learning (1) quantum state tomography (1) boosting algorithm (1) weak learner (1) quantum sample complexity (1) shadow tomography (1) quantum computation (1) differential privacy (1) quantum stability (1) learning theory (1) online learning (1) quantum computing (1) statistical query (1)

Papers

On the Role of Entanglement and Statistics in Learning NIPS 2023

Private learning implies quantum stability NIPS 2021

Quantum Boosting ICML 2020

Optimal Quantum Sample Complexity of Learning Algorithms JMLR 2018