Causal Inference

Optimal Treatment Regimes for Proximal Causal Learning NeurIPS 2023 Optimized Covariance Design for AB Test on Social Network under Interference NeurIPS 2023 Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning CVPR 2023 Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy ICLR 2023 Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships ICML 2023 PAC Generalization via Invariant Representations ICML 2023 Pairwise Causality Guided Transformers for Event Sequences NeurIPS 2023 Passive learning of active causal strategies in agents and language models NeurIPS 2023 Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes ICLR 2023 PiFold: Toward effective and efficient protein inverse folding ICLR 2023 Pipeline for modeling causal beliefs from natural language ACL 2023 Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications JMLR 2023 Practical Algorithms for Orientations of Partially Directed Graphical Models CLeaR 2023 Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information ICLR 2023 Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network ACL 2023 Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference ACL 2023 Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk ICML 2023 Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs NeurIPS 2023 Probabilities of Causation: Role of Observational Data AISTATS 2023 Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information AAAI 2023 Propensity Matters: Measuring and Enhancing Balancing for Recommendation ICML 2023 Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization AAAI 2023 Proximal Causal Learning of Conditional Average Treatment Effects ICML 2023 PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference NeurIPS 2023 PWSHAP: A Path-Wise Explanation Model for Targeted Variables ICML 2023