Fairness Evaluation in Presence of Biased Noisy Labels. - Riccardo Fogliato; Alexandra Chouldechova; Max G'Sell (AISTATS, 2020)

A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores. - Maria De-Arteaga; Riccardo Fogliato; Alexandra Chouldechova (CHI, 2020)

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. - Umang Bhatt; Yunfeng Zhang; Javier Antorán; Q. Vera Liao; Prasanna Sattigeri; Riccardo Fogliato; Gabrielle Gauthier Melançon; Ranganath Krishnan; Jason Stanley; Omesh Tickoo; Lama Nachman; Rumi Chunara; et al. (CoRR, 2020)

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. - Umang Bhatt; Javier Antorán; Yunfeng Zhang; Q. Vera Liao; Prasanna Sattigeri; Riccardo Fogliato; Gabrielle Gauthier Melançon; Ranganath Krishnan; Jason Stanley; Omesh Tickoo; Lama Nachman; Rumi Chunara; et al. (AIES, 2021)

On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes. - Riccardo Fogliato; Alice Xiang; Zachary C. Lipton; Daniel Nagin; Alexandra Chouldechova (AIES, 2021)

The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies. - Riccardo Fogliato; Alexandra Chouldechova; Zachary C. Lipton (Proc. ACM Hum. Comput. Interact., 2021)

Racial Disparities in the Enforcement of Marijuana Violations in the US. - Bradley Butcher; Christopher Robinson; Miri Zilka; Riccardo Fogliato; Carolyn Ashurst; Adrian Weller (AIES, 2022)

Homophily and Incentive Effects in Use of Algorithms. - Riccardo Fogliato; Sina Fazelpour; Shantanu Gupta; Zachary C. Lipton; David Danks (CogSci, 2022)

Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging. - Riccardo Fogliato; Shreya Chappidi; Matthew P. Lungren; Paul Fisher; Diane Wilson; Michael Fitzke; Mark Parkinson; Eric Horvitz; Kori Inkpen; Besmira Nushi (FAccT, 2022)

The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments. - Miri Zilka; Riccardo Fogliato; Jiri Hron; Bradley Butcher; Carolyn Ashurst; Adrian Weller (FAccT, 2023)

Confidence Intervals for Error Rates in Matching Tasks: Critical Review and Recommendations. - Riccardo Fogliato; Pratik Patil; Pietro Perona (CoRR, 2023)

A Framework for Efficient Model Evaluation Through Stratification, Sampling, and Estimation. - Riccardo Fogliato; Pratik Patil; Mathew Monfort; Pietro Perona (ECCV (88), 2024)

Precise Model Benchmarking with Only a Few Observations. - Riccardo Fogliato; Pratik Patil; Nil-Jana Akpinar; Mathew Monfort (EMNLP, 2024)

Multicalibration for Confidence Scoring in LLMs. - Gianluca Detommaso; Martin Bertran Lopez; Riccardo Fogliato; Aaron Roth 001 (ICML, 2024)

Multicalibration for Confidence Scoring in LLMs. - Gianluca Detommaso; Martín Bertrán; Riccardo Fogliato; Aaron Roth 001 (CoRR, 2024)

Improving LLM Group Fairness on Tabular Data via In-Context Learning. - Valeriia Cherepanova; Chia-Jung Lee; Nil-Jana Akpinar; Riccardo Fogliato; Martín Bertrán; Michael Kearns; James Zou (CoRR, 2024)

Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations. - Riccardo Fogliato; Pratik Patil; Pietro Perona (Int. J. Comput. Vis., 2024)

Stronger Neyman Regret Guarantees for Adaptive Experimental Design. - Georgy Noarov; Riccardo Fogliato; Martín Bertrán; Aaron Roth 001 (CoRR, 2025)

Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles. - Kimberly Le Truong; Riccardo Fogliato; Hoda Heidari; Zhiwei Steven Wu (CoRR, 2025)

Play Favorites: A Statistical Method to Measure Self-Bias in LLM-as-a-Judge. - Evangelia Spiliopoulou; Riccardo Fogliato; Hanna Burnsky; Tamer Soliman; Jie Ma 005; Graham Horwood; Miguel Ballesteros (CoRR, 2025)