Calmon, Flavio

23 publications

NeurIPS 2025 HeavyWater and SimplexWater: Distortion-Free LLM Watermarks for Low-Entropy Distributions Dor Tsur, Carol Xuan Long, Claudio Mayrink Verdun, Sajani Vithana, Hsiang Hsu, Chun-Fu Chen, Haim H. Permuter, Flavio Calmon

NeurIPS 2025 Inference-Time Reward Hacking in Large Language Models Hadi Khalaf, Claudio Mayrink Verdun, Alex Oesterling, Himabindu Lakkaraju, Flavio Calmon

ICLRW 2025 Optimized Couplings for Watermarking Large Language Models Carol Xuan Long, Dor Tsur, Claudio Mayrink Verdun, Hsiang Hsu, Haim H. Permuter, Flavio Calmon

ICML 2025 Optimizing Noise Distributions for Differential Privacy Atefeh Gilani, Juan Felipe Gomez, Shahab Asoodeh, Flavio Calmon, Oliver Kosut, Lalitha Sankar

ICLR 2025 Regretful Decisions Under Label Noise Sujay Nagaraj, Yang Liu, Flavio Calmon, Berk Ustun

NeurIPS 2025 Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor Alexandra Olteanu, Su Lin Blodgett, Agathe Balayn, Angelina Wang, Fernando Diaz, Flavio Calmon, Margaret Mitchell, Michael Ekstrand, Reuben Binns, Solon Barocas

NeurIPS 2025 Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy Bogdan Kulynych, Juan Felipe Gomez, Georgios Kaissis, Jamie Hayes, Borja Balle, Flavio Calmon, Jean Louis Raisaro

AISTATS 2024 Fair Machine Unlearning: Data Removal While Mitigating Disparities Alex Oesterling, Jiaqi Ma, Flavio Calmon, Himabindu Lakkaraju

NeurIPS 2023 Adapting Fairness Interventions to Missing Values Raymond Feng, Flavio Calmon, Hao Wang

NeurIPS 2023 Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions Hao Wang, Luxi He, Rui Gao, Flavio Calmon

NeurIPS 2023 Individual Arbitrariness and Group Fairness Carol Long, Hsiang Hsu, Wael Alghamdi, Flavio Calmon

ICML 2023 The Saddle-Point Method in Differential Privacy Wael Alghamdi, Juan Felipe Gomez, Shahab Asoodeh, Flavio Calmon, Oliver Kosut, Lalitha Sankar

NeurIPS 2022 Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalak, Shahab Asoodeh, Flavio Calmon

NeurIPS 2022 On the Epistemic Limits of Personalized Prediction Lucas Monteiro Paes, Carol Long, Berk Ustun, Flavio Calmon

NeurIPS 2022 Rashomon Capacity: A Metric for Predictive Multiplicity in Classification Hsiang Hsu, Flavio Calmon

NeurIPS 2021 Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels Hao Wang, Yizhe Huang, Rui Gao, Flavio Calmon

ICLR 2021 CPR: Classifier-Projection Regularization for Continual Learning Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flavio Calmon, Taesup Moon

AISTATS 2020 Obfuscation via Information Density Estimation Hsiang Hsu, Shahab Asoodeh, Flavio Calmon

AISTATS 2020 Optimized Score Transformation for Fair Classification Dennis Wei, Karthikeyan Natesan Ramamurthy, Flavio Calmon

ICML 2020 Predictive Multiplicity in Classification Charles Marx, Flavio Calmon, Berk Ustun

ICML 2019 Repairing Without Retraining: Avoiding Disparate Impact with Counterfactual Distributions Hao Wang, Berk Ustun, Flavio Calmon

NeurIPS 2017 Optimized Pre-Processing for Discrimination Prevention Flavio Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R Varshney

ICML 2016 Correcting Forecasts with Multifactor Neural Attention Matthew Riemer, Aditya Vempaty, Flavio Calmon, Fenno Heath, Richard Hull, Elham Khabiri