Article-Journal

Auditing and Enforcing Conditional Fairness via Optimal Transport

Monty Hall and Score Optimization in Conformal Prediction to Improve LLM performance in Multi-choice Question Answering

FairWASP: Fast and Optimal Fair Wasserstein Pre-processing

Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access

Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss

Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings

Counterfactual Mean-Variance Optimization

Comment on “Statistical Modeling: The Two Cultures” by Leo Breiman

Challenges in Obtaining Valid Causal Effect Estimates with Machine Learning Algorithms

The bilingual advantage: Conflict monitoring, cognitive control, and garden-path recovery