Changlong Wu
11 papers · 2021–2026 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
π Conference Polyglot (6) π§ Keyword Pioneer π Cross-Pollinator (14) πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge
π
Century Club
(10)
π₯
Unstoppable
(5)
Conferences
AISTATS (2)
ALT (2)
COLT (2)
ICML (2)
NIPS (2)
ICLR (1)
Top co-authors
Research topics
Keywords
online learning
(8)
minimax regret
(2)
information theory
(2)
vc dimension
(2)
binary classification
(1)
logistic regression
(1)
unsupervised learning
(1)
phase transition
(1)
regret minimization
(1)
online classification
(1)
random sampling
(1)
fat-shattering dimension
(1)
hypothesis class
(1)
conditional distribution
(1)
minimax risk
(1)
minimax optimality
(1)
probabilistic model
(1)
regret bound
(1)
learning theory
(1)
statistical learning
(1)
Papers
Phase Transition of Regret for Logistic Regression with Large Weights
ALT 2026
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
Online Distribution Learning with Local Privacy Constraints
AISTATS 2024
A Theory of Fault-Tolerant Learning
ICML 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
Prediction with Finitely many Errors Almost Surely
AISTATS 2021
Non-uniform Consistency of Online Learning with Random Sampling
ALT 2021