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stat.ML2026
Operationalizing Individual Fairness via Gradient Descent and Bradley-Terry Models
Conlan Olson, Linjun Zhang, Zhun Deng +1
Individual fairness, the notion that "similar individuals should be treated similarly," provides a strong and flexible fairness guarantee for algorithmic decision makers. However,…
stat.ML2026
Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression
Anvit Garg, Sohom Bhattacharya, Pragya Sur
Model collapse occurs when generative models degrade after repeatedly training on their own synthetic outputs. We study this effect in overparameterized linear regression in a sett…