Cover Image

Robust Causal Directionality Inference in Quantum Inference under MNAR Observation and High-Dimensional Noise

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Kang, Joonsung
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Penalized Empirical Likelihood for Doubly Robust Causal Inference under Contamination in High Dimensions
by: Lee, Byeonghee, et al.
Published: (2025)

Predictive Causal Inference via Spatio-Temporal Modeling and Penalized Empirical Likelihood
by: Lee, Byunghee, et al.
Published: (2025)

Robust Personalized Recommendation under Hidden Confounding in MNAR
by: Li, Zongyu, et al.
Published: (2026)

HNCI: High-Dimensional Network Causal Inference
by: Du, Wenqin, et al.
Published: (2024)

Neural Score Matching for High-Dimensional Causal Inference
by: Clivio, Oscar, et al.
Published: (2022)

Causal-StoNet: Causal Inference for High-Dimensional Complex Data
by: Fang, Yaxin, et al.
Published: (2024)

Bounds and Sensitivity Analysis of the Causal Effect Under Outcome-Independent MNAR Confounding
by: Peña, Jose M.
Published: (2024)

An Interpretable Ensemble Framework for Multi-Omics Dementia Biomarker Discovery Under HDLSS Conditions
by: Lee, Byeonghee, et al.
Published: (2025)

Domain Adaptation Under MNAR Missingness
by: Stokes, Tyrel, et al.
Published: (2025)

Causal Abstraction Inference under Lossy Representations
by: Xia, Kevin, et al.
Published: (2025)

Federated Causal Inference from Observational Data
by: Vo, Thanh Vinh, et al.
Published: (2023)

Causal Inference from Slowly Varying Nonstationary Processes
by: Du, Kang, et al.
Published: (2024)

Positive-Unlabeled Learning for Control Group Construction in Observational Causal Inference
by: Tsoumas, Ilias, et al.
Published: (2025)

Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
by: Hu, Binbin, et al.
Published: (2024)

Inference-Time Alignment of Diffusion Models with Direct Noise Optimization
by: Tang, Zhiwei, et al.
Published: (2024)

Identifiable Deep Latent Variable Models for MNAR Data
by: Xie, Huiming, et al.
Published: (2026)

Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise
by: Yang, Xiaoxuan, et al.
Published: (2021)

Doubly Robust Inference in Causal Latent Factor Models
by: Abadie, Alberto, et al.
Published: (2024)

Minimum Specification Perturbation: Robustness as Distance-to-Falsification in Causal Inference
by: Dang, Hoang, et al.
Published: (2026)

Neighborhood Adaptive Estimators for Causal Inference under Network Interference
by: Belloni, Alexandre, et al.
Published: (2022)

Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings
by: Chakrabortty, Abhishek, et al.
Published: (2022)

A Tutorial on Doubly Robust Learning for Causal Inference
by: Hlynsson, Hlynur Davíð
Published: (2024)

Prediction-Powered Causal Inferences
by: Cadei, Riccardo, et al.
Published: (2025)

Generalized Bayes for Causal Inference
by: Javurek, Emil, et al.
Published: (2026)

LASSO Inference for High Dimensional Predictive Regressions
by: Gao, Zhan, et al.
Published: (2024)

CausalGuard: Conformal Inference under Graph Uncertainty
by: Singh, Vikash, et al.
Published: (2026)

Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization
by: Joshi, Sunay, et al.
Published: (2025)

A General Causal Inference Framework for Cross-Sectional Observational Data
by: Zhao, Yonghe, et al.
Published: (2024)

Forests for Differences: Robust Causal Inference Beyond Parametric DiD
by: Souto, Hugo Gobato, et al.
Published: (2025)

Post-Transfer Learning Statistical Inference in High-Dimensional Regression
by: Tam, Nguyen Vu Khai, et al.
Published: (2025)

Statistical Inference via Generative Models: Flow Matching and Causal Inference
by: Eguchi, Shinto
Published: (2026)

Double Machine Learning for Causal Inference under Shared-State Interference
by: Hays, Chris, et al.
Published: (2025)

Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors
by: Dhawan, Nikita, et al.
Published: (2026)

Flexible Nonparametric Inference for Causal Effects under the Front-Door Model
by: Guo, Anna, et al.
Published: (2023)

SOFARI: High-Dimensional Manifold-Based Inference
by: Zheng, Zemin, et al.
Published: (2023)

Causal Inference as Distribution Adaptation: Optimizing ATE Risk under Propensity Uncertainty
by: Zhang, Ashley
Published: (2025)

Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions
by: Asiaee, Amir, et al.
Published: (2026)

Causal Inference with the "Napkin Graph"
by: Guo, Anna, et al.
Published: (2025)

The Local Approach to Causal Inference under Network Interference
by: Auerbach, Eric, et al.
Published: (2021)

Active and Passive Causal Inference Learning
by: Im, Daniel Jiwoong, et al.
Published: (2023)