2 papers
cs.LG2026
Invariance Pair Guidance: Robustness to Spurious Correlations via Corrective Gradients
Martin Surner, Abdelmajid Khelil, Ludwig Bothmann
Machine learning models are inherently bound to the distribution of the training data, often exploiting non-causal shortcuts. As a result, achieving robustness to spurious correlat…
cs.LG2025
TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees
Emmanouil Panagiotou, Benoît Ronval, Arjun Roy +4
Ensuring fairness in machine learning remains a significant challenge, as models often inherit biases from their training data. Generative models have recently emerged as a promisi…