Riccardo Fogliato

31 papers A* 5A 1B 1C 3Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Many AI Analysts, One Dataset: Navigating the Agentic Data Science Multiverse. CoRR Martín Bertrán, Riccardo Fogliato, Zhiwei Steven Wu
2025	A*	`conf`	Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles. EMNLP Kimberly Le Truong, Riccardo Fogliato, Hoda Heidari, Steven Wu
2025	J	`jnl`	Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles. CoRR Kimberly Le Truong, Riccardo Fogliato, Hoda Heidari, Zhiwei Steven Wu
2025	J	`jnl`	Play Favorites: A Statistical Method to Measure Self-Bias in LLM-as-a-Judge. CoRR Evangelia Spiliopoulou, Riccardo Fogliato, Hanna Burnsky, Tamer Soliman, Jie Ma, Graham Horwood, Miguel Ballesteros
2025	A*	`conf`	Stronger Neyman Regret Guarantees for Adaptive Experimental Design. ICML Georgy Noarov, Riccardo Fogliato, Martín Bertrán, Aaron Roth
2025	J	`jnl`	Stronger Neyman Regret Guarantees for Adaptive Experimental Design. CoRR Georgy Noarov, Riccardo Fogliato, Martín Bertrán, Aaron Roth
2024	—	`conf`	A Framework for Efficient Model Evaluation Through Stratification, Sampling, and Estimation. ECCV (88) Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona
2024	J	`jnl`	A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation. CoRR Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona
2024	J	`jnl`	Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations. Int. J. Comput. Vis. Riccardo Fogliato, Pratik Patil, Pietro Perona
2024	J	`jnl`	Improving LLM Group Fairness on Tabular Data via In-Context Learning. CoRR Valeriia Cherepanova, Chia-Jung Lee, Nil-Jana Akpinar, Riccardo Fogliato, Martín Bertrán, Michael Kearns, James Zou
2024	A*	`conf`	Multicalibration for Confidence Scoring in LLMs. ICML Gianluca Detommaso, Martin Bertran Lopez, Riccardo Fogliato, Aaron Roth
2024	J	`jnl`	Multicalibration for Confidence Scoring in LLMs. CoRR Gianluca Detommaso, Martín Bertrán, Riccardo Fogliato, Aaron Roth
2024	A*	`conf`	Precise Model Benchmarking with Only a Few Observations. EMNLP Riccardo Fogliato, Pratik Patil, Nil-Jana Akpinar, Mathew Monfort
2024	J	`jnl`	Precise Model Benchmarking with Only a Few Observations. CoRR Riccardo Fogliato, Pratik Patil, Nil-Jana Akpinar, Mathew Monfort
2023	J	`jnl`	Confidence Intervals for Error Rates in Matching Tasks: Critical Review and Recommendations. CoRR Riccardo Fogliato, Pratik Patil, Pietro Perona
2023	—	`conf`	The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments. FAccT Miri Zilka, Riccardo Fogliato, Jiri Hron, Bradley Butcher, Carolyn Ashurst, Adrian Weller
2023	J	`jnl`	The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments. CoRR Miri Zilka, Riccardo Fogliato, Jiri Hron, Bradley Butcher, Carolyn Ashurst, Adrian Weller
2022	B	`conf`	Homophily and Incentive Effects in Use of Algorithms. CogSci Riccardo Fogliato, Sina Fazelpour, Shantanu Gupta, Zachary C. Lipton, David Danks
2022	J	`jnl`	Homophily and Incentive Effects in Use of Algorithms. CoRR Riccardo Fogliato, Sina Fazelpour, Shantanu Gupta, Zachary C. Lipton, David Danks
2022	C	`conf`	Racial Disparities in the Enforcement of Marijuana Violations in the US. AIES Bradley Butcher, Christopher Robinson, Miri Zilka, Riccardo Fogliato, Carolyn Ashurst, Adrian Weller
2022	—	`conf`	Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging. FAccT Riccardo Fogliato, Shreya Chappidi, Matthew P. Lungren, Paul Fisher, Diane Wilson, Michael Fitzke, Mark Parkinson, Eric Horvitz, Kori Inkpen, Besmira Nushi
2022	J	`jnl`	Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging. CoRR Riccardo Fogliato, Shreya Chappidi, Matthew P. Lungren, Michael Fitzke, Mark Parkinson, Diane Wilson, Paul Fisher, Eric Horvitz, Kori Inkpen, Besmira Nushi
2021	C	`conf`	On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes. AIES Riccardo Fogliato, Alice Xiang, Zachary C. Lipton, Daniel Nagin, Alexandra Chouldechova
2021	J	`jnl`	The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies. CoRR Riccardo Fogliato, Alexandra Chouldechova, Zachary C. Lipton
2021	J	`jnl`	The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies. Proc. ACM Hum. Comput. Interact. Riccardo Fogliato, Alexandra Chouldechova, Zachary C. Lipton
2021	C	`conf`	Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. AIES 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
2020	A*	`conf`	A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores. CHI Maria De-Arteaga, Riccardo Fogliato, Alexandra Chouldechova
2020	J	`jnl`	A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores. CoRR Maria De-Arteaga, Riccardo Fogliato, Alexandra Chouldechova
2020	A	`conf`	Fairness Evaluation in Presence of Biased Noisy Labels. AISTATS Riccardo Fogliato, Alexandra Chouldechova, Max G'Sell
2020	J	`jnl`	Fairness Evaluation in Presence of Biased Noisy Labels. CoRR Riccardo Fogliato, Max G'Sell, Alexandra Chouldechova
2020	J	`jnl`	Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. CoRR 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