{"total":23,"rows":[{"id":"2402.18477","title":"Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes","created":"2024-02-28","cited_by_count":18,"area":null},{"id":"2402.13196","title":"Practical Kernel Tests of Conditional Independence","created":"2024-02-20","cited_by_count":15,"area":null},{"id":"2205.08340","title":"A unified framework for dataset shift diagnostics","created":"2022-05-17","cited_by_count":7,"area":null},{"id":"2307.02520","title":"Conditional independence testing under misspecified inductive biases","created":"2023-07-05","cited_by_count":7,"area":null},{"id":"2308.01475","title":"Interpretable Machine Learning for Discovery: Statistical Challenges \\& Opportunities","created":"2023-08-02","cited_by_count":7,"area":null},{"id":"2407.17694","title":"Doubly Robust Conditional Independence Testing with Generative Neural Networks","created":"2024-07-25","cited_by_count":7,"area":null},{"id":"2512.14000","title":"On the Hardness of Conditional Independence Testing In Practice","created":"2025-12-16","cited_by_count":7,"area":null},{"id":"2406.02234","title":"On the Limitations of Fractal Dimension as a Measure of Generalization","created":"2024-06-04","cited_by_count":5,"area":null},{"id":"2509.21021","title":"Efficient Ensemble Conditional Independence Test Framework for Causal Discovery","created":"2025-09-25","cited_by_count":5,"area":null},{"id":"2311.06012","title":"Double Machine Learning Based Structure Identification from Temporal Data","created":"2023-11-10","cited_by_count":4,"area":null},{"id":"2410.16636","title":"General Frameworks for Conditional Two-Sample Testing","created":"2024-10-22","cited_by_count":4,"area":null},{"id":"2211.04702","title":"A survey of some recent developments in measures of association","created":"2022-11-09","cited_by_count":3,"area":null},{"id":"2402.07388","title":"The Limits of Assumption-free Tests for Algorithm Performance","created":"2024-02-12","cited_by_count":3,"area":null},{"id":"2411.06140","title":"Deep Nonparametric Conditional Independence Tests for Images","created":"2024-11-09","cited_by_count":3,"area":null},{"id":"2407.17910","title":"Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences","created":"2024-07-25","cited_by_count":2,"area":null},{"id":"2505.11085","title":"A Fast Kernel-based Conditional Independence test with Application to Causal Discovery","created":"2025-05-16","cited_by_count":2,"area":null},{"id":"2512.19510","title":"Toward Scalable and Valid Conditional Independence Testing with Spectral Representations","created":"2025-12-22","cited_by_count":1,"area":null},{"id":"2602.21036","title":"Empirically Calibrated Conditional Independence Tests","created":"2026-02-24","cited_by_count":1,"area":null},{"id":"2411.11516","title":"Efficient Sample-optimal Learning of Gaussian Tree Models via Sample-optimal Testing of Gaussian Mutual Information","created":"2024-11-18","cited_by_count":0,"area":null},{"id":"2507.05689","title":"Optimal structure learning and conditional independence testing","created":"2025-07-08","cited_by_count":0,"area":null},{"id":"2512.00668","title":"Restricted Block Permutation for Two-Sample Testing","created":"2025-11-29","cited_by_count":0,"area":null},{"id":"2608.15798","title":"Cross-Entropy Risk Estimation for Language Models: Inconsistency Must Be Dense, and the Holdout Method Is No Exception","created":"2026-08-16","cited_by_count":0,"area":null},{"id":"2609.23535","title":"Decoupled Causal Discovery","created":"2026-09-20","cited_by_count":0,"area":null}],"next_cursor":null}