conftrace_

structural causal model

184 papers

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Also known as

SCMS SCM

Co-occurring keywords

causal inference (1630) counterfactual reasoning (230) causal discovery (460) causal intervention (110) backdoor adjustment (34) causal effect (107) spurious correlation (279) causal identification (37) counterfactual inference (47) few-shot learning (3398)

Papers

Answering Complex Causal Queries With the Maximum Causal Set Effect NIPS 2021
Learning Generalized Gumbel-max Causal Mechanisms NIPS 2021
Regularizing towards Causal Invariance: Linear Models with Proxies ICML 2021
A Generative Adversarial Framework for Bounding Confounded Causal Effects AAAI 2021
Counterfactual Maximum Likelihood Estimation for Training Deep Networks NIPS 2021
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models NIPS 2021
The Causal-Neural Connection: Expressiveness, Learnability, and Inference NIPS 2021
Entropic Causal Inference: Identifiability and Finite Sample Results NIPS 2020
Causal Intervention for Weakly-Supervised Semantic Segmentation NIPS 2020
Interventional Few-Shot Learning NIPS 2020
Deep Structural Causal Models for Tractable Counterfactual Inference NIPS 2020
Active Invariant Causal Prediction: Experiment Selection through Stability NIPS 2020
Counterfactual Vision and Language Learning CVPR 2020
Probabilistic Reasoning Across the Causal Hierarchy AAAI 2020
A Calculus for Stochastic Interventions:Causal Effect Identification and Surrogate Experiments AAAI 2020
Few-shot Domain Adaptation by Causal Mechanism Transfer ICML 2020
Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets ICML 2020
Explainable Reinforcement Learning through a Causal Lens AAAI 2020
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles UAI 2020
Theory-Based Causal Transfer:Integrating Instance-Level Induction and Abstract-Level Structure Learning AAAI 2020
A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model MLHC 2020
CREDICI: A Java Library for Causal Inference by Credal Networks PGM 2020
Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders UAI 2020
Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects UAI 2020
Structural Causal Models Are (Solvable by) Credal Networks PGM 2020