Yifang Chen
14 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (32) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Keyword Champion
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Keyword Collector
(76)
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(5)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(13)
Learning Types Β· Machine Learning
(11)
Optimization & Theory
(7)
Artificial Intelligence
(6)
Core AI
(5)
Deep Learning
(4)
Core Methods
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Reinforcement Learning
(2)
Application Areas
(2)
Architectures
(2)
Learning Types Β· Deep Learning
(2)
Methods
(2)
Computer Vision
(1)
Keywords
active learning
(5)
reinforcement learning
(3)
representation learning
(3)
contextual bandit
(3)
multi-task learning
(3)
dynamic regret
(2)
regret bound
(2)
linear mdp
(2)
sample complexity
(2)
pac learning
(1)
multimodal learning
(1)
preference learning
(1)
adversarial learning
(1)
transfer learning
(1)
model merging
(1)
binary classification
(1)
transformer
(1)
image synthesis
(1)
episodic learning
(1)
universal approximation
(1)
Papers
Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities
ICML 2025
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
ACL 2024
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
NeurIPS 2024
Decoding-Time Language Model Alignment with Multiple Objectives
NeurIPS 2024
Active representation learning for general task space with applications in robotics
NeurIPS 2023
Improved Active Multi-Task Representation Learning via Lasso
ICML 2023
Active Multi-Task Representation Learning
ICML 2022
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach
ICML 2022
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes
ICML 2022
Corruption Robust Active Learning
NeurIPS 2021
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning
ICML 2021
Fair Contextual Multi-Armed Bandits: Theory and Experiments
UAI 2020
Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information
COLT 2019
A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal and Parameter-free
COLT 2019