Jianqing Fan
18 papers · 2009–2025 · 7 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· Full π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (41)
π§
Keyword Pioneer
ποΈ
Keyword Collector
(114)
π
Century Club Β· Bronze
β‘
Prolific Year Β· Productive
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(17)
Optimization & Theory Β· Machine Learning
(14)
Learning Types
(8)
Core Methods
(6)
Mathematics & Optimization
(5)
Deep Learning
(4)
Reinforcement Learning
(4)
Mathematics
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Core AI
(3)
Methods
(3)
Architectures
(2)
Optimization & Theory Β· Deep Learning
(2)
Probability
(2)
Keywords
maximum likelihood estimation
(3)
covariate shift
(2)
density ratio
(2)
sample complexity
(2)
feature selection
(2)
reinforcement learning
(2)
minimax optimality
(2)
out-of-distribution generalization
(2)
offline reinforcement learning
(1)
unsupervised pretraining
(1)
sample efficiency
(1)
representation learning
(1)
curriculum learning
(1)
uncertainty quantification
(1)
domain adaptation
(1)
vision-language navigation
(1)
stochastic gradient descent
(1)
ridge regression
(1)
global convergence
(1)
in-context learning
(1)
Papers
Benign Overfitting in Out-of-Distribution Generalization of Linear Models
ICLR 2025
Global Convergence in Training Large-Scale Transformers
NeurIPS 2024
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
ICLR 2024
Minimax-optimal reward-agnostic exploration in reinforcement learning
COLT 2024
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
NeurIPS 2024
On the Provable Advantage of Unsupervised Pretraining
ICLR 2024
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
NeurIPS 2024
Uncertainty Quantification of MLE for Entity Ranking with Covariates
JMLR 2024
Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval
NAACL 2022
Curriculum Learning for Vision-and-Language Navigation
NeurIPS 2021
Hoeffding's Inequality for General Markov Chains and Its Applications to Statistical Learning
JMLR 2021
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model
NeurIPS 2021
A Theoretical Analysis of Deep Q-Learning
L4DC 2020
An β_β Eigenvector Perturbation Bound and Its Application
JMLR 2018
Statistical Sparse Online Regression: A Diffusion Approximation Perspective
AISTATS 2018
Guarding against Spurious Discoveries in High Dimensions
JMLR 2016
Distributions of Angles in Random Packing on Spheres
JMLR 2013
Ultrahigh Dimensional Feature Selection: Beyond The Linear Model
JMLR 2009