Jin Tian
36 papers · 2009–2026 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 42% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Jin Tian?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Yuta Kawakami, manabu kuroki, Naoya Hashimoto
9 papers
· 2023–2026
· UAI, AAAI, ICML
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Fixed-Confidence Best-Arm Identification for Causal Mediation Analysis
UAI 2026
Identification and Bounding of Central Moments of Causal Effects Using Marginal Moments Information
UAI 2026
Potential Outcome Rankings for Counterfactual Decision Making
AAAI 2026
Decomposition of Probabilities of Causation with Two Mediators
UAI 2025
Mediation Analysis for Probabilities of Causation
AAAI 2025
Moments of Causal Effects
UAI 2025
Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental Variable
UAI 2024
Probabilities of Causation for Continuous and Vector Variables
UAI 2024
Instrumental Variable Estimation of Average Partial Causal Effects
ICML 2023
8 papers whose co-authors appear nowhere else under this name
Causal Logistic Bandits with Counterfactual Fairness Constraints
ICML 2025
Neuron Dependency Graphs: A Causal Abstraction of Neural Networks
ICML 2022
A Mutual Information Regularization for Adversarial Training
ACML 2021
Recovering Probability Distributions from Missing Data
ACML 2017
Structure Learning in Bayesian Networks of a Moderate Size by Efficient Sampling
JMLR 2016
Missing at Random in Graphical Models
AISTATS 2015
Graphical Models for Inference with Missing Data
NeurIPS 2013
Markov Properties for Linear Causal Models with Correlated Errors
JMLR 2009