Fogliato, Riccardo

6 publications

ICML 2025 Stronger Neyman Regret Guarantees for Adaptive Experimental Design Georgy Noarov, Riccardo Fogliato, Martin Andres Bertran, Aaron Roth

ECCV 2024 A Framework for Efficient Model Evaluation Through Stratification, Sampling, and Estimation Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona

NeurIPSW 2024 Improving LLM Group Fairness on Tabular Data via In-Context Learning Valeriia Cherepanova, Chia-Jung Lee, Nil-Jana Akpinar, Riccardo Fogliato, Martin Andres Bertran, Michael Kearns, James Zou

NeurIPSW 2024 Improving LLM Group Fairness on Tabular Data via In-Context Learning Valeriia Cherepanova, Chia-Jung Lee, Nil-Jana Akpinar, Riccardo Fogliato, Martin Andres Bertran, Michael Kearns, James Zou

ICML 2024 Multicalibration for Confidence Scoring in LLMs Gianluca Detommaso, Martin Andres Bertran, Riccardo Fogliato, Aaron Roth

AISTATS 2020 Fairness Evaluation in Presence of Biased Noisy Labels Riccardo Fogliato, Alexandra Chouldechova, Max G’Sell