Yu-Jie Zhang
17 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Conference Polyglot (5)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Conference Polyglot
(5)
π€
Dynamic Duo
(13)
ποΈ
Keyword Collector
(73)
β‘
Prolific Year
(6)
π
Century Club
(17)
π₯
Unstoppable
(6)
Conferences
NIPS (8)
ICML (4)
AAAI (2)
JMLR (2)
UAI (1)
Top co-authors
Keywords
dynamic regret
(6)
online learning
(4)
online convex optimization
(3)
regret bound
(3)
distribution shift
(2)
stochastic optimization
(2)
gradient variation
(2)
domain adaptation
(2)
unbiased risk estimator
(2)
non-stationary environment
(2)
imitation learning
(1)
supervised learning
(1)
policy learning
(1)
feature disentanglement
(1)
preference learning
(1)
reinforcement learning
(1)
function approximation
(1)
covariate shift
(1)
convex optimization
(1)
semi-supervised learning
(1)
Papers
Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
ICML 2025
Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update
ICML 2025
Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization
NIPS 2024
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
JMLR 2024
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation
NIPS 2024
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization
JMLR 2024
Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation
ICML 2024
Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
ICML 2024
Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost
NIPS 2023
Imitation Learning from Vague Feedback
NIPS 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
NIPS 2023
Adapting to Online Label Shift with Provable Guarantees
NIPS 2022
Towards Enabling Learnware to Handle Unseen Jobs
AAAI 2021
Exploratory Machine Learning with Unknown Unknowns
AAAI 2021
A Simple Online Algorithm for Competing with Dynamic Comparators
UAI 2020
Dynamic Regret of Convex and Smooth Functions
NIPS 2020
An Unbiased Risk Estimator for Learning with Augmented Classes
NIPS 2020