Yinglun Zhu
14 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (13)
🏃
Academic Marathon
(5)
🌈
Renaissance Researcher
(5)
🏆
Keyword Champion
(3)
🔥
Unstoppable
(6)
💎
Century Club
(14)
⚡
Prolific Year
(6)
Conferences
ICML (4)
NIPS (4)
AISTATS (2)
ICLR (2)
ACL (1)
EMNLP (1)
Top co-authors
Keywords
sample complexity
(4)
multi-armed bandit
(4)
contextual bandit
(3)
pareto optimal
(3)
active learning
(3)
online learning
(3)
regret bound
(3)
neural network
(2)
experimental design
(2)
label complexity
(2)
pure exploration
(2)
model selection
(2)
online algorithm
(2)
sequential decision making
(2)
minimax optimal
(2)
continuous action space
(2)
linear bandit
(2)
large language model
(2)
ucb algorithm
(1)
algorithm design
(1)
Papers
Chain-of-region: Visual Language Models Need Details for Diagram Analysis
ICLR 2025
Efficient Sparse PCA via Block-Diagonalization
ICLR 2025
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
ACL 2024
Efficient Sequential Decision Making with Large Language Models
EMNLP 2024
Infinite Action Contextual Bandits with Reusable Data Exhaust
ICML 2023
Contextual Bandits with Large Action Spaces: Made Practical
ICML 2022
Pareto Optimal Model Selection in Linear Bandits
AISTATS 2022
Efficient Active Learning with Abstention
NIPS 2022
Active Learning with Neural Networks: Insights from Nonparametric Statistics
NIPS 2022
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits
AISTATS 2022
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces
ICML 2022
Pure Exploration in Kernel and Neural Bandits
NIPS 2021
Robust Outlier Arm Identification
ICML 2020
On Regret with Multiple Best Arms
NIPS 2020