Jian Qian
15 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (38)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(80)
π
Century Club Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(14)
Optimization & Theory
(11)
Learning Types
(8)
Mathematics & Optimization
(6)
Reinforcement Learning
(5)
Methods
(5)
Optimization
(5)
Artificial Intelligence
(4)
Core AI
(3)
Deep Learning
(2)
Application Areas
(2)
Mathematics
(2)
Computer Vision
(1)
Analysis
(1)
Core Methods
(1)
Keywords
regret bound
(5)
interactive decision making
(3)
contextual bandit
(2)
exploration bonus
(2)
convergence rate
(2)
multi-armed bandit
(2)
information theory
(2)
online estimation
(2)
online learning
(2)
reinforcement learning
(2)
model-free reinforcement learning
(2)
logistic regression
(1)
adversarial learning
(1)
density estimation
(1)
interactive learning
(1)
data poisoning
(1)
sample efficiency
(1)
causal inference
(1)
markov decision process
(1)
non-convex optimization
(1)
Papers
Refined Risk Bounds for Unbounded Losses via Transductive Priors
JMLR 2026
Self-Normalized Martingales and Uniform Regret Bounds for Linear Regression
COLT 2026
Bridging Multiple Worlds: Multi-marginal Optimal Transport for Causal Partial-identification Problem
AISTATS 2025
PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram
CVPR 2025
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
NeurIPS 2024
How Does Variance Shape the Regret in Contextual Bandits?
NeurIPS 2024
Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff
NeurIPS 2024
Online Estimation via Offline Estimation: An Information-Theoretic Framework
NeurIPS 2024
The Non-linear F-Design and Applications to Interactive Learning
ICML 2024
Convex and Non-convex Optimization Under Generalized Smoothness
NeurIPS 2023
Model-Free Reinforcement Learning with the Decision-Estimation Coefficient
NeurIPS 2023
Robust learning under clean-label attack
COLT 2021
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes
NeurIPS 2020
Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs
NeurIPS 2019
Importance Resampling for Off-policy Prediction
NeurIPS 2019