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Papers
Regularizing towards Causal Invariance: Linear Models with Proxies
ICML 2021
The Causal-Neural Connection: Expressiveness, Learnability, and Inference
NeurIPS 2021
Uncovering Main Causalities for Long-tailed Information Extraction
EMNLP 2021
A Calculus for Stochastic Interventions:Causal Effect Identification and Surrogate Experiments
AAAI 2020
A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model
MLHC 2020
Active Invariant Causal Prediction: Experiment Selection through Stability
NeurIPS 2020
Causal Intervention for Weakly-Supervised Semantic Segmentation
NeurIPS 2020
Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects
UAI 2020
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles
UAI 2020
Counterfactual Vision and Language Learning
CVPR 2020
CREDICI: A Java Library for Causal Inference by Credal Networks
PGM 2020
Deep Structural Causal Models for Tractable Counterfactual Inference
NeurIPS 2020
Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets
ICML 2020
Entropic Causal Inference: Identifiability and Finite Sample Results
NeurIPS 2020
Explainable Reinforcement Learning through a Causal Lens
AAAI 2020
Few-shot Domain Adaptation by Causal Mechanism Transfer
ICML 2020
Interventional Few-Shot Learning
NeurIPS 2020
Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders
UAI 2020
Probabilistic Reasoning Across the Causal Hierarchy
AAAI 2020
Structural Causal Models Are (Solvable by) Credal Networks
PGM 2020
Theory-Based Causal Transfer:Integrating Instance-Level Induction and Abstract-Level Structure Learning
AAAI 2020
Beyond Structural Causal Models: Causal Constraints Models
UAI 2019
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias
UAI 2019
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models
ICML 2019
Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets
NeurIPS 2019