{"total":27,"rows":[{"id":"2204.09105","title":"An improved central limit theorem and fast convergence rates for entropic transportation costs","created":"2022-04-19","cited_by_count":18,"area":null},{"id":"2306.01424","title":"Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model","created":"2023-06-02","cited_by_count":14,"area":null},{"id":"2206.06854","title":"On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective","created":"2022-06-14","cited_by_count":6,"area":null},{"id":"2407.14058","title":"Towards the Causal Complete Cause of Multi-Modal Representation Learning","created":"2024-07-19","cited_by_count":5,"area":null},{"id":"2202.07965","title":"GAN Estimation of Lipschitz Optimal Transport Maps","created":"2022-02-16","cited_by_count":4,"area":null},{"id":"2209.11539","title":"Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models","created":"2022-09-23","cited_by_count":4,"area":null},{"id":"2408.03425","title":"Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness","created":"2024-08-06","cited_by_count":4,"area":null},{"id":"2210.04491","title":"A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis","created":"2022-10-10","cited_by_count":3,"area":null},{"id":"2412.01065","title":"Lookahead Counterfactual Fairness","created":"2024-12-02","cited_by_count":2,"area":null},{"id":"2502.01701","title":"Learning with Differentially Private (Sliced) Wasserstein Gradients","created":"2025-02-03","cited_by_count":2,"area":null},{"id":"2503.07811","title":"A primer on optimal transport for causal inference with observational data","created":"2025-03-10","cited_by_count":2,"area":null},{"id":"2303.11111","title":"Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks","created":"2023-03-17","cited_by_count":1,"area":null},{"id":"2306.05751","title":"Advancing Counterfactual Inference through Nonlinear Quantile Regression","created":"2023-06-09","cited_by_count":1,"area":null},{"id":"2311.11900","title":"Measuring and Mitigating Biases in Motor Insurance Pricing","created":"2023-11-20","cited_by_count":1,"area":null},{"id":"2404.06090","title":"Fair Graph Neural Network with Supervised Contrastive Regularization","created":"2024-04-09","cited_by_count":1,"area":null},{"id":"2502.01211","title":"Privilege Scores","created":"2025-02-03","cited_by_count":1,"area":null},{"id":"2603.16436","title":"DISCOVER: A Solver for Distributional Counterfactual Explanations","created":"2026-03-17","cited_by_count":1,"area":null},{"id":"2202.08977","title":"Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables","created":"2022-02-16","cited_by_count":0,"area":null},{"id":"2209.14568","title":"Local and Regional Counterfactual Rules: Summarized and Robust Recourses","created":"2022-09-29","cited_by_count":0,"area":null},{"id":"2501.15549","title":"Optimal Transport on Categorical Data for Counterfactuals using Compositional Data and Dirichlet Transport","created":"2025-01-26","cited_by_count":0,"area":null},{"id":"2502.12796","title":"Learning Counterfactually Fair Models via Improved Generation with Neural Causal Models","created":"2025-02-18","cited_by_count":0,"area":null},{"id":"2502.16263","title":"PLS-based approach for fair representation learning","created":"2025-02-22","cited_by_count":0,"area":null},{"id":"2509.16027","title":"What is a good matching of probability measures? A counterfactual lens on transport maps","created":"2025-09-19","cited_by_count":0,"area":null},{"id":"2601.09841","title":"A pipeline for enabling path-specific causal fairness in observational health data","created":"2026-01-14","cited_by_count":0,"area":null},{"id":"2601.20692","title":"Optimal Transport Group Counterfactual Explanations","created":"2026-01-28","cited_by_count":0,"area":null},{"id":"2603.09145","title":"Causally Sufficient and Necessary Feature Expansion for Class-Incremental Learning","created":"2026-03-10","cited_by_count":0,"area":null},{"id":"2604.02342","title":"Homophily-aware Supervised Contrastive Counterfactual Augmented Fair Graph Neural Network","created":"2026-02-08","cited_by_count":0,"area":null}],"next_cursor":null}