Tianxi Cai
14 papers · 2008–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Full π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(76)
Venues
Top co-authors
Research topics
Machine Learning
(14)
Application Areas
(7)
Learning Types
(7)
Core Methods
(6)
Healthcare & Medicine
(5)
Optimization & Theory
(5)
Clinical
(4)
Artificial Intelligence
(3)
Reinforcement Learning
(2)
Core AI
(2)
Learning Paradigms
(2)
Methods
(2)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Keywords
semi-supervised learning
(4)
electronic health record
(4)
doubly robust estimation
(2)
language model
(2)
knowledge distillation
(1)
multi-source learning
(1)
false discovery rate
(1)
matrix factorization
(1)
offline reinforcement learning
(1)
uncertainty quantification
(1)
domain adaptation
(1)
high-dimensional inference
(1)
posterior sampling
(1)
high-dimensional statistics
(1)
covariate shift
(1)
empirical risk minimization
(1)
lasso regression
(1)
high-dimensional regression
(1)
conditional probability
(1)
transfer learning
(1)
Papers
CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition
ICML 2025
Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response
JMLR 2025
A teacher-teacher framework for clinical language representation learning
NeurIPS 2024
Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models
JMLR 2023
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices
JMLR 2023
Prompt Discriminative Language Models for Domain Adaptation
ACL 2023
Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes
JMLR 2023
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction
JMLR 2023
Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping
JMLR 2022
Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints
JMLR 2021
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation
NeurIPS 2020
L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs
JMLR 2016
On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting
JMLR 2016
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
JMLR 2008