Xiaojie Mao
9 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24) π Conference Polyglot Β· Silver
π§
Keyword Pioneer
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(56)
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Core AI
(6)
Optimization & Theory
(6)
Core Methods
(5)
Mathematics & Optimization
(4)
Learning Types
(4)
Optimization
(3)
Knowledge & Reasoning
(2)
Reasoning
(2)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Clinical
(1)
Mathematics
(1)
Keywords
causal inference
(4)
regret bound
(3)
penalized minimax estimator
(2)
instrumental variable
(2)
function approximation
(1)
efficient inference
(1)
off-policy evaluation
(1)
offline learning
(1)
matrix factorization
(1)
cost-sensitive learning
(1)
stochastic shortest path
(1)
distributionally robust optimization
(1)
bandit feedback
(1)
contextual bandit
(1)
asymptotic normality
(1)
convergence rate
(1)
instrumental variable regression
(1)
bandit algorithm
(1)
partial identification
(1)
nonparametric estimation
(1)
Papers
Learning with Selectively Labeled Data from Multiple Decision-makers
ICML 2025
Contextual Linear Optimization with Bandit Feedback
NeurIPS 2024
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond
JMLR 2024
Inference on Strongly Identified Functionals of Weakly Identified Functions
COLT 2023
Minimax Instrumental Variable Regression and L_2 Convergence Guarantees without Identification or Closedness
COLT 2023
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning
ICML 2022
Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes
COLT 2020
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding
AISTATS 2019
Causal Inference with Noisy and Missing Covariates via Matrix Factorization
NeurIPS 2018