Chansoo Lee

10 papers · 2013–2024 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (9) 🗺️ Taxonomy Completionist (22) 🌍 Conference Polyglot (6) 🏃 Academic Marathon (11) 💎 Century Club (10) 🚀 Conference Pioneer

Conferences

NIPS (4) ICML (2) AUTOML (1) COLT (1) ICLR (1) JMLR (1)

Top co-authors

Xingyou Song (4) Greg Kochanski (3) Ambuj Tewari (3) Yutian Chen (2) Zi Wang (2) Daniel Golovin (2) Sagi Perel (2) Jacob D. Abernethy (2) Dávid Pál (1) Jasper Snoek (1)

Keywords

regret bound (3) online learning (3) multi-armed bandit (2) gaussian process (2) hyperparameter tuning (2) feature learning (1) multi-task learning (1) differential privacy (1) hyperparameter optimization (1) feature selection (1) kl divergence (1) pac learning (1) regret analysis (1) visual recognition (1) online convex optimization (1) transfer learning (1) online optimization (1) boltzmann machine (1) bayesian optimization (1) algorithmic stability (1)

Papers

Position: Leverage Foundational Models for Black-Box Optimization ICML 2024

Pre-trained Gaussian Processes for Bayesian Optimization JMLR 2024

Towards Learning Universal Hyperparameter Optimizers with Transformers NIPS 2022

Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization AUTOML 2022

Gradientless Descent: High-Dimensional Zeroth-Order Optimization ICLR 2020

Online Learning via the Differential Privacy Lens NIPS 2019

Hardness of Online Sleeping Combinatorial Optimization Problems NIPS 2016

Fighting Bandits with a New Kind of Smoothness NIPS 2015

Online Linear Optimization via Smoothing COLT 2014

Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013