Tianxi Cai
14 papers · 2008–2025 · 4 conferences · across top CS/AI conferences
Achievements
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Academic Marathon
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Cross-Pollinator
(9)
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(6)
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(4)
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(5)
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(14)
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Keyword Collector
(71)
Conferences
JMLR (10)
NIPS (2)
ACL (1)
ICML (1)
Top co-authors
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
NIPS 2024
Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models
JMLR 2023
Surrogate Assisted Semi-supervised Inference for High Dimensional Risk Prediction
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
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
NIPS 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