Flávio P. Calmon

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 82

Top Topics

Differentially Private

Machine Learning

Differential Privacy

Matrix Multiplication

Top Venues

Publications

Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long, Alex Glynn, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flávio P. Calmon
Multi-Group Proportional Representation. CoRR (2024)
Sajani Vithana, Viveck R. Cadambe, Flávio P. Calmon, Haewon Jeong
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation. CoRR (2024)
Alex Oesterling, Jiaqi Ma, Flávio P. Calmon, Himabindu Lakkaraju
Fair Machine Unlearning: Data Removal while Mitigating Disparities. AISTATS (2024)
Juan Felipe Gómez, Caio Vieira Machado, Lucas Monteiro Paes, Flávio P. Calmon
Algorithmic Arbitrariness in Content Moderation. FAccT (2024)
Usha Bhalla, Alex Oesterling, Suraj Srinivas, Flávio P. Calmon, Himabindu Lakkaraju
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE). CoRR (2024)
Wael Alghamdi, Flávio P. Calmon
Measuring Information From Moments. IEEE Trans. Inf. Theory 70 (2) (2024)
Juan Felipe Gómez, Caio Vieira Machado, Lucas Monteiro Paes, Flávio P. Calmon
Algorithmic Arbitrariness in Content Moderation. CoRR (2024)
Lucas Monteiro Paes, Dennis Wei, Flávio P. Calmon
Selective Explanations. CoRR (2024)
Haitong Ma, Tianpeng Zhang, Yixuan Wu, Flávio P. Calmon, Na Li
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. IROS (2023)
Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon
Arbitrary Decisions are a Hidden Cost of Differentially-Private Training. CoRR (2023)
Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar
Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime. ISIT (2023)
Wael Alghamdi, Juan Felipe Gómez, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
The Saddle-Point Method in Differential Privacy. ICML (2023)
Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon
Aleatoric and Epistemic Discrimination in Classification. CoRR (2023)
Lucas Monteiro Paes, Rodrigo Cruz, Flávio P. Calmon, Mario Díaz
On the Inevitability of the Rashomon Effect. ISIT (2023)
Behrooz Razeghi, Flávio P. Calmon, Deniz Gündüz, Slava Voloshynovskiy
Bottlenecks CLUB: Unifying Information-Theoretic Trade-Offs Among Complexity, Leakage, and Utility. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon
Arbitrary Decisions are a Hidden Cost of Differentially Private Training. FAccT (2023)
Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon
Arbitrary Decisions Are a Hidden Cost of Differentially Private Training. EWAF (2023)
Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions. NeurIPS (2023)
Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flávio P. Calmon
Individual Arbitrariness and Group Fairness. NeurIPS (2023)
Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flávio P. Calmon
Arbitrariness Lies Beyond the Fairness-Accuracy Frontier. CoRR (2023)
Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar
Schrödinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity. ISIT (2023)
Alex Oesterling, Jiaqi Ma, Flávio P. Calmon, Hima Lakkaraju
Fair Machine Unlearning: Data Removal while Mitigating Disparities. CoRR (2023)
Lucas Monteiro Paes, Ananda Theertha Suresh, Alex Beutel, Flávio P. Calmon, Ahmad Beirami
Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing. CoRR (2023)
Hao Wang, Rui Gao, Flávio P. Calmon
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels. J. Mach. Learn. Res. 24 (2023)
Viveck R. Cadambe, Haewon Jeong, Flávio P. Calmon
Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise. ISIT (2023)
Raymond Feng, Flávio P. Calmon, Hao Wang
Adapting Fairness Interventions to Missing Values. CoRR (2023)
Viveck R. Cadambe, Ateet Devulapalli, Haewon Jeong, Flávio P. Calmon
Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise. CoRR (2023)
Ateet Devulapalli, Viveck R. Cadambe, Flávio P. Calmon, Haewon Jeong
Differentially Private Distributed Matrix Multiplication: Fundamental Accuracy-Privacy Trade-Off Limits. ISIT (2022)
Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar, Fei Wei
The Saddle-Point Accountant for Differential Privacy. CoRR (2022)
Behrooz Razeghi, Flávio P. Calmon, Deniz Gündüz, Slava Voloshynovskiy
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility. CoRR (2022)
Haewon Jeong, Hao Wang, Flávio P. Calmon
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values. AAAI (2022)
Hsiang Hsu, Flávio P. Calmon
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification. NeurIPS (2022)
Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, P. Winston Michalak, Shahab Asoodeh, Flávio P. Calmon
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction. CoRR (2022)
Lucas Monteiro Paes, Carol Long, Berk Ustun, Flávio P. Calmon
On the Epistemic Limits of Personalized Prediction. NeurIPS (2022)
Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalák, Shahab Asoodeh, Flávio P. Calmon
Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection. NeurIPS (2022)
Marguerite B. Basta, Sarfaraz Hussein, Hsiang Hsu, Flávio P. Calmon
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks. CoRR (2022)
Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei
Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. CoRR (2022)
Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei
Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. ISIT (2022)
Hsiang Hsu, Salman Salamatian, Flávio P. Calmon
Generalizing Correspondence Analysis for Applications in Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Shahab Asoodeh, Maryam Aliakbarpour, Flávio P. Calmon
-Divergence. CoRR (2021)
Shahab Asoodeh, Wei-Ning Chen, Flávio P. Calmon, Ayfer Özgür
Differentially Private Federated Learning: An Information-Theoretic Perspective. ISIT (2021)
Behrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov, Flávio P. Calmon, Slava Voloshynovskiy
Privacy-Preserving near Neighbor Search via Sparse Coding with Ambiguation. ICASSP (2021)
Shahab Asoodeh, Maryam Aliakbarpour, Flávio P. Calmon
Local Differential Privacy Is Equivalent to Contraction of an $f$-Divergence. ISIT (2021)
Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
Three Variants of Differential Privacy: Lossless Conversion and Applications. IEEE J. Sel. Areas Inf. Theory 2 (1) (2021)
Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon
The Impact of Split Classifiers on Group Fairness. ISIT (2021)
Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flávio P. Calmon, Taesup Moon
CPR: Classifier-Projection Regularization for Continual Learning. ICLR (2021)
Madeleine Barowsky, Alexander Mariona, Flávio P. Calmon
Predictive Coding for Lossless Dataset Compression. ICASSP (2021)
Behrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov, Flávio P. Calmon, Slava Voloshynovskiy
Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation. CoRR (2021)
Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels. NeurIPS (2021)
Hao Wang, Yizhe Huang, Rui Gao, Flávio P. Calmon
Learning While Dissipating Information: Understanding the Generalization Capability of SGLD. CoRR (2021)
Haewon Jeong, Ateet Devulapalli, Viveck R. Cadambe, Flávio P. Calmon
ε-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication. CoRR (2021)
Wael Alghamdi, Flávio P. Calmon
Polynomial Approximations of Conditional Expectations in Scalar Gaussian Channels. ISIT (2021)
Wael Alghamdi, Flávio P. Calmon
Polynomial Approximations of Conditional Expectations in Scalar Gaussian Channels. CoRR (2021)
Viveck R. Cadambe, Flávio P. Calmon, Ateet Devulapalli, Haewon Jeong
E-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication. ISIT (2021)
Wael Alghamdi, Flávio P. Calmon
Measuring Information from Moments. CoRR (2021)
Haewon Jeong, Hao Wang, Flávio P. Calmon
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values. CoRR (2021)
Charles T. Marx, Flávio P. Calmon, Berk Ustun
Predictive Multiplicity in Classification. ICML (2020)
Shahab Asoodeh, Mario Díaz, Flávio P. Calmon
Privacy Amplification of Iterative Algorithms via Contraction Coefficients. ISIT (2020)
Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak, Flávio P. Calmon, Slava Voloshynovskiy
Privacy-Preserving Image Sharing Via Sparsifying Layers on Convolutional Groups. ICASSP (2020)
Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon
To Split or Not to Split: The Impact of Disparate Treatment in Classification. CoRR (2020)
Shahab Asoodeh, Mario Díaz, Flávio P. Calmon
Privacy Analysis of Online Learning Algorithms via Contraction Coefficients. CoRR (2020)
Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via $f$-Divergences. CoRR (2020)
Behrooz Razeghi, Flávio P. Calmon, Deniz Gündüz, Slava Voloshynovskiy
On Perfect Obfuscation: Local Information Geometry Analysis. CoRR (2020)
Behrooz Razeghi, Flávio P. Calmon, Deniz Gündüz, Slava Voloshynovskiy
On Perfect Obfuscation: Local Information Geometry Analysis. WIFS (2020)
Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
Three Variants of Differential Privacy: Lossless Conversion and Applications. CoRR (2020)
Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon
Maximal α-Leakage and its Properties. CNS (2020)
Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences. ISIT (2020)
Shahab Asoodeh, Flávio P. Calmon
Bottleneck Problems: An Information and Estimation-Theoretic View. Entropy 22 (11) (2020)
Shahab Asoodeh, Mario Díaz, Flávio P. Calmon
Privacy Amplification of Iterative Algorithms via Contraction Coefficients. CoRR (2020)
Wael Alghamdi, Shahab Asoodeh, Hao Wang, Flávio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy
Model Projection: Theory and Applications to Fair Machine Learning. ISIT (2020)
Sungmin Cha, Hsiang Hsu, Flávio P. Calmon, Taesup Moon
CPR: Classifier-Projection Regularization for Continual Learning. CoRR (2020)
Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak, Flávio P. Calmon, Slava Voloshynovskiy
Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups. CoRR (2020)
Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon
Robustness of Maximal α-Leakage to Side Information. CoRR (2019)
Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon
Robustness of Maximal α-Leakage to Side Information. ISIT (2019)
Hsiang Hsu, Shahab Asoodeh, Flávio P. Calmon
Information-Theoretic Privacy Watchdogs. ISIT (2019)
Wael Alghamdi, Flávio P. Calmon
Mutual Information as a Function of Moments. ISIT (2019)
Hao Wang, Berk Ustun, Flávio P. Calmon
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions. ICML (2019)
Hao Wang, Mario Díaz, José Cândido Silveira Santos Filho, Flávio P. Calmon
An Information-Theoretic View of Generalization via Wasserstein Distance. ISIT (2019)
Hao Wang, Berk Ustun, Flávio P. Calmon
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions. CoRR (2019)
Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar
On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. CoRR (2018)
Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon
Privacy Under Hard Distortion Constraints. ITW (2018)
Hao Wang, Mario Díaz, Flávio P. Calmon, Lalitha Sankar
The Utility Cost of Robust Privacy Guarantees. ISIT (2018)