← Authors

Changlong Wu

10 papers · 2021–2025 · 6 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (13) πŸŒ‰ Interdisciplinary Bridge πŸ’Ž Century Club (10) πŸ”₯ Unstoppable (5)

Conferences

AISTATS (2) COLT (2) ICML (2) NIPS (2) ALT (1) ICLR (1)

Top co-authors

Wojciech Szpankowski (7) Ananth Grama (6) Jin Sima (2) Yifan Wang (2) Narayana Santhanam (2) Mohsen Heidari (1) Olgica Milenkovic (1)

Research topics

Differential Privacy (1) Privacy (1)

Keywords

online learning (7) vc dimension (2) information theory (2) learning theory (1) binary classification (1) minimax optimality (1) online classification (1) regret minimization (1) random sampling (1) fat-shattering dimension (1) hypothesis class (1) conditional distribution (1) minimax risk (1) minimax regret (1) probabilistic model (1) regret bound (1) contextual bandit (1) sequential probability assignment (1) logarithmic loss (1) noisy label (1)

Papers

No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models ICLR 2025
Oracle-Efficient Hybrid Online Learning with Unknown Distribution COLT 2024
Information-theoretic Limits of Online Classification with Noisy Labels NIPS 2024
A Theory of Fault-Tolerant Learning ICML 2024
Online Distribution Learning with Local Privacy Constraints AISTATS 2024
Online Learning in Dynamically Changing Environments COLT 2023
Learning Functional Distributions with Private Labels ICML 2023
Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm NIPS 2022
Non-uniform Consistency of Online Learning with Random Sampling ALT 2021
Prediction with Finitely many Errors Almost Surely AISTATS 2021