Riccardo Fogliato

According to our database, Riccardo Fogliato authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., November, 2024

A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation.

Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona

CoRR, 2024

Multicalibration for Confidence Scoring in LLMs.

Gianluca Detommaso, Martín Bertrán, Riccardo Fogliato, Aaron Roth

CoRR, 2024

Multicalibration for Confidence Scoring in LLMs.

Gianluca Detommaso, Martin Bertran Lopez, Riccardo Fogliato, Aaron Roth

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Precise Model Benchmarking with Only a Few Observations.

Riccardo Fogliato, Pratik Patil, Nil-Jana Akpinar, Mathew Monfort

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Confidence Intervals for Error Rates in Matching Tasks: Critical Review and Recommendations.

Riccardo Fogliato, Pratik Patil, Pietro Perona

CoRR, 2023

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

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

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

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Homophily and Incentive Effects in Use of Algorithms.

Riccardo Fogliato, Sina Fazelpour, Shantanu Gupta, Zachary C. Lipton, David Danks

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Racial Disparities in the Enforcement of Marijuana Violations in the US.

Bradley Butcher, Christopher Robinson, Miri Zilka, Riccardo Fogliato, Carolyn Ashurst, Adrian Weller

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

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

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

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

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, Madhulika Srikumar, Adrian Weller, Alice Xiang

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

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, Adrian Weller, Alice Xiang

CoRR, 2020

A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores.

Maria De-Arteaga, Riccardo Fogliato, Alexandra Chouldechova

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Fairness Evaluation in Presence of Biased Noisy Labels.

Riccardo Fogliato, Alexandra Chouldechova, Max G'Sell

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020