16 citations · 67 across the 20 of their papers we have counts for
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stat.ML2026
Design-Based Supervised Learning with Noisy Human Labels
Robert Chew, Matthew R. Williams
Researchers increasingly use automated classifiers to label unstructured data for statistical analysis. Existing rectification methods can correct errors in these automated labels…
stat.ML2025
Bayesian Pseudo Posterior Mechanism for Differentially Private Machine Learning
Robert Chew, Matthew R. Williams, Elan A. Segarra +3
Differential privacy (DP) is becoming increasingly important for deployed machine learning applications because it provides strong guarantees for protecting the privacy of individu…