Image de couverture de livre

Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Asiaee, Amir, Aryan, Kavey, Long, James P.
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

DAG DECORation: Continuous Optimization for Structure Learning under Hidden Confounding
par: Pal, Samhita, et autres
Publié: (2025)

Fix Representation (Optimally) Before Fairness: Finite-Sample Shrinkage Population Correction and the True Price of Fairness Under Subpopulation Shift
par: Asiaee, Amir, et autres
Publié: (2026)

Fairness Under Group-Conditional Prior Probability Shift: Invariance, Drift, and Target-Aware Post-Processing
par: Asiaee, Amir, et autres
Publié: (2026)

Projected Boosting with Fairness Constraints: Quantifying the Cost of Fair Training Distributions
par: Asiaee, Amir, et autres
Publié: (2026)

Efficient Discovery of Approximate Causal Abstractions via Neural Mechanism Sparsification
par: Asiaee, Amir
Publié: (2026)

Causal Discovery with Mixed Latent Confounding via Precision Decomposition
par: Asiaee, Amir, et autres
Publié: (2025)

Noise-Calibrated Inference from Differentially Private Sufficient Statistics in Exponential Families
par: Asiaee, Amir, et autres
Publié: (2026)

CausalWrap: Model-Agnostic Causal Constraint Wrappers for Tabular Synthetic Data
par: Asiaee, Amir, et autres
Publié: (2026)

Improving RCT-Based CATE Estimation Under Covariate Mismatch via Calibrated Alignment
par: Asiaee, Amir, et autres
Publié: (2026)

PRISM: Differentially Private Synthetic Data with Structure-Aware Budget Allocation for Prediction
par: Asiaee, Amir, et autres
Publié: (2026)

CausalGuard: Conformal Inference under Graph Uncertainty
par: Singh, Vikash, et autres
Publié: (2026)

Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
par: Gamella, Juan L., et autres
Publié: (2022)

Risk-Equalized Differentially Private Synthetic Data: Protecting Outliers by Controlling Record-Level Influence
par: Asiaee, Amir, et autres
Publié: (2026)

Weight Clipping for Robust Conformal Inference under Unbounded Covariate Shifts
par: Wang, James, et autres
Publié: (2026)

Causal Inference on Networks under Misspecified Exposure Mappings: A Partial Identification Framework
par: Schröder, Maresa, et autres
Publié: (2026)

Valid Inference After Causal Discovery
par: Gradu, Paula, et autres
Publié: (2022)

Fairness under Graph Uncertainty: Achieving Interventional Fairness with Partially Known Causal Graphs over Clusters of Variables
par: Chikahara, Yoichi
Publié: (2026)

Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits
par: Elahi, Muhammad Qasim, et autres
Publié: (2024)

Identifiable Multimodal Causal Representation Learning under Partial Latent Sharing
par: Benhamza, Manal, et autres
Publié: (2026)

Partially Observed Structural Causal Models
par: Orujlu, Turan, et autres
Publié: (2026)

Conformal Counterfactual Inference under Hidden Confounding
par: Chen, Zonghao, et autres
Publié: (2024)

Robust Conformal Prediction under Distribution Shift via Physics-Informed Structural Causal Model
par: Xu, Rui, et autres
Publié: (2024)

Interventional Causal Representation Learning
par: Ahuja, Kartik, et autres
Publié: (2022)

Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
par: Zuo, Aoqi, et autres
Publié: (2024)

Partial-Label Learning with Conformal Candidate Cleaning
par: Fuchs, Tobias, et autres
Publié: (2025)

Marginal Causal Flows for Validation and Inference
par: Manela, Daniel de Vassimon, et autres
Publié: (2024)

Everywhere Valid Bounds on False Discovery Proportions in Conformal Inference
par: Song, Ziang, et autres
Publié: (2026)

Optimized Conformal Selection: Powerful Selective Inference After Conformity Score Optimization
par: Bai, Tian, et autres
Publié: (2024)

Test-Time Learning of Causal Structure from Interventional Data
par: Chen, Wei, et autres
Publié: (2026)

Causality-Encoded Diffusion Models for Interventional Sampling and Edge Inference
par: Chen, Li, et autres
Publié: (2026)

Causal Reflection with Language Models
par: Aryan, Abi, et autres
Publié: (2025)

When Selection Meets Intervention: Additional Complexities in Causal Discovery
par: Dai, Haoyue, et autres
Publié: (2025)

Learning Mixtures of Unknown Causal Interventions
par: Kumar, Abhinav, et autres
Publié: (2024)

Improve ROI with Causal Learning and Conformal Prediction
par: Ai, Meng, et autres
Publié: (2024)

Valid Selection among Conformal Sets
par: Hegazy, Mahmoud, et autres
Publié: (2025)

Causal Abstraction Inference under Lossy Representations
par: Xia, Kevin, et autres
Publié: (2025)

Intervention Efficiency and Perturbation Validation Framework: Capacity-Aware and Robust Clinical Model Selection under the Rashomon Effect
par: Zhang, Yuwen, et autres
Publié: (2025)

On the Role of Surrogates in Conformal Inference of Individual Causal Effects
par: Gao, Chenyin, et autres
Publié: (2024)

Individual Causal Inference with Structural Causal Model
par: Chang, Daniel T.
Publié: (2025)

Scalable Contrastive Causal Discovery under Unknown Soft Interventions
par: Zhang, Mingxuan, et autres
Publié: (2026)