Papers

• Many AI Analysts, One Dataset: Navigating the Agentic Data Science Multiverse
  Martin Bertran, Riccardo Fogliato, Zhiwei Steven Wu
  arXiv · arXiv
• Play Favorites: A Statistical Method to Measure Self-Bias in LLM-as-a-Judge
  Evangelia Spiliopoulou*, Riccardo Fogliato*, et al.
  arXiv · arXiv
• Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles
  Kimberly Truong, Riccardo Fogliato, Hoda Heidari, Steven Wu
  EMNLP 2025 · arXiv
• Stronger Neyman Regret Guarantees for Adaptive Experimental Design
  Georgy Noarov, Riccardo Fogliato, Martin Bertran, Aaron Roth
  ICML 2025 · arXiv code
• Improving LLM Group Fairness on Tabular Data via In-Context Learning
  V. Cherepanova, CJ Lee, N. Akpinar, R. Fogliato, M. Bertran, M. Kearns, J. Zou
  AIES 2025 · arXiv
• Precise Model Benchmarking with Only a Few Observations
  Riccardo Fogliato, Pratik Patil, Nil-Jana Akpinar, Mathew Monfort
  EMNLP 2024 · arXiv
• A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation
  Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona
  ECCV 2024 · arXiv ECCV code
• Multicalibration for Confidence Scoring in LLMs
  Gianluca Detommaso, Martin Bertran*, Riccardo Fogliato*, Aaron Roth
  ICML 2024 · arXiv code
• Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations
  Riccardo Fogliato, Pratik Patil, Pietro Perona
  International Journal of Computer Vision · arXiv (w/ power analysis in C.5) IJCV code PyPI
• Estimating the Likelihood of Arrest from Police Records in Presence of Unreported Crimes
  R. Fogliato, AK Kuchibhotla, Z. Lipton, D. Nagin, A. Xiang, A. Chouldechova
  Annals of Applied Statistics · arXiv AOAS code
• The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments
  M. Zilka, R. Fogliato, J. Hron, B. Butcher, C. Ashurst, A. Weller
  FAccT 2023 · arXiv
• Homophily and Incentive Effects in Use of Algorithms
  Riccardo Fogliato, Sina Fazelpour, Shantanu Gupta, Zachary Lipton, David Danks
  CogSci 2022 · arXiv
• Human Discernment of Algorithmic Errors: A Case Study in Child Welfare
  Maria De-Arteaga*, Riccardo Fogliato*, Alexandra Chouldechova
  SSRN
• Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging
  R. Fogliato, S. Chappidi, M. Fitzke, M. Parkinson, D. Wilson, P. Fisher, M. Lungren, E. Horvitz, K. Inkpen, B. Nushi
  FAccT 2022 · arXiv platform
• Racial Disparities in the Enforcement of Marijuana Violations in the US
  Bradley Butcher, Chris Robinson, Miri Zilka, Riccardo Fogliato, Carolyn Ashurst, Adrian Weller
  AIES 2022 · arXiv code
• On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes
  Riccardo Fogliato, Alice Xiang, Zachary Lipton, Daniel Nagin, Alexandra Chouldechova
  AIES 2021 (oral) · arXiv ACM code
• The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies
  Riccardo Fogliato, Alexandra Chouldechova, Zachary Lipton
  CSCW 2021 · arXiv ACM data+code
• maars: an R implementation of Models As Approximations
  Riccardo Fogliato*, Shamindra Shrotriya*, Arun Kumar Kuchibhotla · arXiv code talk
• Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
  U. Bhatt, Y. Zhang, J. Antorán, Q.V. Liao, P. Sattigeri, R. Fogliato, G.G. Melançon, R. Krishnan, J. Stanley, O. Tickoo, L. Nachman, R. Chunara, A. Weller, A. Xiang
  AIES 2021 · arXiv ACM
• Lessons from the Deployment of an Algorithmic Tool in Child Welfare
  Riccardo Fogliato*, Maria De-Arteaga*, Alexandra Chouldechova
  Fair & Responsible AI Workshop, CHI 2020 · workshop
• A Case for Humans-in-the-Loop: Decisions in the Presence of Erroneous Algorithmic Scores
  Maria De-Arteaga*, Riccardo Fogliato*, Alexandra Chouldechova (* co-first)
  CHI 2020 · arXiv ACM Medium post
• Fairness Evaluation in the Presence of Biased Noisy Labels
  Riccardo Fogliato, Max G'Sell, Alexandra Chouldechova
  AISTATS 2020 · arXiv PMLR
• TRAP: A Predictive Framework for Trail Running Assessment of Performance
  Riccardo Fogliato, Natalia Oliveira, Ronald Yurko
  Journal of Quantitative Analysis in Sports · arXiv JQAS Talk @ MIT SSAC
  ^† Best poster award at NESSIS 2019 and at CMSAC 2019 (1 of 4) · poster
• Trajectories of Prescription Opioids Filled Over Time
  J. Elmer, R. Fogliato, N. Setia, W. Mui, M. Lynch, E. Hulsey, D. Nagin
  PLOS ONE 2019 · PLOS

Misc

• Why PATTERN Should Not Be Used: The Perils of Using Algorithmic Risk Assessment Tools During COVID-19
  Riccardo Fogliato, Alice Xiang, Alexandra Chouldechova
  Issue brief of the Partnership on AI · issue brief