Jianqing Fan
18 papers · 2009–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Academic Marathon (16)
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(10)
π
Conference Pioneer
β‘
Prolific Year
(7)
π
Trend Setter
ποΈ
Keyword Collector
(102)
π
Century Club
(18)
Conferences
JMLR (6)
NIPS (5)
ICLR (3)
AISTATS (1)
COLT (1)
L4DC (1)
NAACL (1)
Top co-authors
Keywords
sample complexity
(2)
reinforcement learning
(2)
feature selection
(2)
offline reinforcement learning
(1)
curriculum learning
(1)
model selection
(1)
sample efficiency
(1)
vision-language navigation
(1)
domain adaptation
(1)
in-context learning
(1)
variable selection
(1)
uncertainty quantification
(1)
attention mechanism
(1)
model-based learning
(1)
stochastic gradient descent
(1)
global convergence
(1)
deep reinforcement learning
(1)
minimax optimality
(1)
sparse estimation
(1)
statistical learning
(1)
Papers
Benign Overfitting in Out-of-Distribution Generalization of Linear Models
ICLR 2025
Uncertainty Quantification of MLE for Entity Ranking with Covariates
JMLR 2024
Global Convergence in Training Large-Scale Transformers
NIPS 2024
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
NIPS 2024
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
NIPS 2024
Minimax-optimal reward-agnostic exploration in reinforcement learning
COLT 2024
On the Provable Advantage of Unsupervised Pretraining
ICLR 2024
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
ICLR 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
NIPS 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
NIPS 2021
A Theoretical Analysis of Deep Q-Learning
L4DC 2020
An $\ell_{\infty}$ 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