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Papers
Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources
ICLR 2025
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates
AAAI 2025
Confounding-Robust Deferral Policy Learning
AAAI 2025
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets
ICLR 2025
Contagion Effect Estimation Using Proximal Embeddings
CLeaR 2025
Context-Aware Reasoning On Parametric Knowledge for Inferring Causal Variables
EMNLP 2025
Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding
JMLR 2025
CoRE: Condition-based Reasoning for Identifying Outcome Variance in Complex Events
ACL 2025
Counterfactual Online Learning for Open-Loop Monte-Carlo Planning
AAAI 2025
CounterPC: Counterfactual Feature Realignment for Unsupervised Domain Adaptation on Point Clouds
ICCV 2025
Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement
AAAI 2025
Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models
ICML 2025
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning
AAAI 2025
Debiased Multimodal Understanding for Human Language Sequences
AAAI 2025
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction
IJCAI 2025
Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation
AAAI 2025
Degree of Interference: A General Framework For Causal Inference Under Interference
JMLR 2025
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm
ICLR 2025
Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport
AAAI 2025
Differentiable Structure Learning with Ancestral Constraints
ICML 2025
Differentially private learners for heterogeneous treatment effects
ICLR 2025
DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data
JMLR 2025
Disconfounding Fake News Video Explanation with Causal Inference
IJCAI 2025
Discovering Latent Causal Graphs from Spatiotemporal Data
ICML 2025
Disentangling Biased Representations: A Causal Intervention Framework for Fairer NLP Models
ACL 2025