| 2025 | CVPR | Multi-Group Proportional Representations for Text-to-Image Models. | Sangwon Jung, Alex Oesterling, Claudio Mayrink Verdun, Sajani Vithana, Taesup Moon, Flvio P. Calmon |
| 2025 | ICLR | Regretful Decisions under Label Noise. | Sujay Nagaraj, Yang Liu, Flvio P. Calmon, Berk Ustun |
| 2025 | ICML | Optimizing Noise Distributions for Differential Privacy. | Atefeh Gilani, Juan Felipe Gmez, Shahab Asoodeh, Flvio P. Calmon, Oliver Kosut, Lalitha Sankar |
| 2025 | ISIT | Tensorization of $f$-Divergences. | Rodrigo Cruz, Mario Daz, Flvio P. Calmon |
| 2025 | ISIT | Optimized Couplings for Watermarking Large Language Models. | Carol Xuan Long, Dor Tsur, Claudio Mayrink Verdun, Hsiang Hsu, Haim H. Permuter, Flvio P. Calmon |
| 2025 | ISIT | Soft Best-of-$n$ Sampling for Model Alignment. | Claudio Mayrink Verdun, Alex Oesterling, Himabindu Lakkaraju, Flvio P. Calmon |
| 2025 | ISIT | Differentially Private Distributed Mean Estimation with Constrained User Correlations. | Sajani Vithana, Viveck R. Cadambe, Flvio P. Calmon, Haewon Jeong |
| 2024 | AISTATS | Fair Machine Unlearning: Data Removal while Mitigating Disparities. | Alex Oesterling, Jiaqi Ma, Flvio P. Calmon, Himabindu Lakkaraju |
| 2024 | ISIT | Differential-Privacy Capacity. | Wael Alghamdi, Shahab Asoodeh, Flvio P. Calmon, Oliver Kosut, Lalitha Sankar |
| 2024 | ISIT | Private Approximate Nearest Neighbor Search for Vector Database Querying. | Sajani Vithana, Martina Cardone, Flvio P. Calmon |
| 2024 | ISIT | $\mathrm{E}_{\gamma}$-Mixing Time. | Behnoosh Zamanlooy, Shahab Asoodeh, Mario Daz, Flvio P. Calmon |
| 2023 | ICML | The Saddle-Point Method in Differential Privacy. | Wael Alghamdi, Juan Felipe Gmez, Shahab Asoodeh, Flvio P. Calmon, Oliver Kosut, Lalitha Sankar |
| 2023 | IROS | Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. | Haitong Ma, Tianpeng Zhang, Yixuan Wu, Flvio P. Calmon, Na Li |
| 2023 | ISIT | Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime. | Wael Alghamdi, Shahab Asoodeh, Flvio P. Calmon, Juan Felipe Gmez, Oliver Kosut, Lalitha Sankar |
| 2023 | ISIT | Schrdinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity. | Wael Alghamdi, Shahab Asoodeh, Flvio P. Calmon, Juan Felipe Gmez, Oliver Kosut, Lalitha Sankar |
| 2023 | ISIT | Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise. | Viveck R. Cadambe, Haewon Jeong, Flvio P. Calmon |
| 2023 | ISIT | On the Inevitability of the Rashomon Effect. | Lucas Monteiro Paes, Rodrigo Cruz, Flvio P. Calmon, Mario Daz |
| 2022 | AAAI | Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values. | Haewon Jeong, Hao Wang, Flvio P. Calmon |
| 2022 | ISIT | Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. | Wael Alghamdi, Shahab Asoodeh, Flvio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei |
| 2022 | ISIT | Differentially Private Distributed Matrix Multiplication: Fundamental Accuracy-Privacy Trade-Off Limits. | Ateet Devulapalli, Viveck R. Cadambe, Flvio P. Calmon, Haewon Jeong |
| 2021 | ICASSP | Predictive Coding for Lossless Dataset Compression. | Madeleine Barowsky, Alexander Mariona, Flvio P. Calmon |
| 2021 | ICASSP | Privacy-Preserving near Neighbor Search via Sparse Coding with Ambiguation. | Behrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov, Flvio P. Calmon, Slava Voloshynovskiy |
| 2021 | ICLR | CPR: Classifier-Projection Regularization for Continual Learning. | Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flvio P. Calmon, Taesup Moon |
| 2021 | ISIT | The Impact of Split Classifiers on Group Fairness. | Hao Wang, Hsiang Hsu, Mario Daz, Flvio P. Calmon |
| 2021 | ISIT | Polynomial Approximations of Conditional Expectations in Scalar Gaussian Channels. | Wael Alghamdi, Flvio P. Calmon |
| 2021 | ISIT | Local Differential Privacy Is Equivalent to Contraction of an $f$-Divergence. | Shahab Asoodeh, Maryam Aliakbarpour, Flvio P. Calmon |
| 2021 | ISIT | Differentially Private Federated Learning: An Information-Theoretic Perspective. | Shahab Asoodeh, Wei-Ning Chen, Flvio P. Calmon, Ayfer zgr |
| 2021 | ISIT | E-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication. | Viveck R. Cadambe, Flvio P. Calmon, Ateet Devulapalli, Haewon Jeong |
| 2020 | AISTATS | Obfuscation via Information Density Estimation. | Hsiang Hsu, Shahab Asoodeh, Flvio P. Calmon |
| 2020 | AISTATS | Optimized Score Transformation for Fair Classification. | Dennis Wei, Karthikeyan Natesan Ramamurthy, Flvio P. Calmon |
| 2020 | ICASSP | Privacy-Preserving Image Sharing Via Sparsifying Layers on Convolutional Groups. | Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak, Flvio P. Calmon, Slava Voloshynovskiy |
| 2020 | ICML | Predictive Multiplicity in Classification. | Charles T. Marx, Flvio P. Calmon, Berk Ustun |
| 2020 | ISIT | Model Projection: Theory and Applications to Fair Machine Learning. | Wael Alghamdi, Shahab Asoodeh, Hao Wang, Flvio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy |
| 2020 | ISIT | Privacy Amplification of Iterative Algorithms via Contraction Coefficients. | Shahab Asoodeh, Mario Daz, Flvio P. Calmon |
| 2020 | ISIT | A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences. | Shahab Asoodeh, Jiachun Liao, Flvio P. Calmon, Oliver Kosut, Lalitha Sankar |
| 2019 | AISTATS | Correspondence Analysis Using Neural Networks. | Hsiang Hsu, Salman Salamatian, Flvio P. Calmon |
| 2019 | ICML | Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions. | Hao Wang, Berk Ustun, Flvio P. Calmon |
| 2019 | ISIT | Mutual Information as a Function of Moments. | Wael Alghamdi, Flvio P. Calmon |
| 2019 | ISIT | Information-Theoretic Privacy Watchdogs. | Hsiang Hsu, Shahab Asoodeh, Flvio P. Calmon |
| 2019 | ISIT | Robustness of Maximal α-Leakage to Side Information. | Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flvio P. Calmon |
| 2019 | ISIT | An Information-Theoretic View of Generalization via Wasserstein Distance. | Hao Wang, Mario Daz, Jos Cndido Silveira Santos Filho, Flvio P. Calmon |
| 2018 | ISIT | Generalizing Bottleneck Problems. | Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flvio P. Calmon |
| 2018 | ISIT | A Tunable Measure for Information Leakage. | Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flvio P. Calmon |
| 2018 | ISIT | The Utility Cost of Robust Privacy Guarantees. | Hao Wang, Mario Daz, Flvio P. Calmon, Lalitha Sankar |
| 2018 | ISIT | On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning. | Hao Wang, Berk Ustun, Flvio P. Calmon |
| 2018 | ITW | Privacy Under Hard Distortion Constraints. | Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flvio P. Calmon |
| 2017 | ISIT | Hypothesis testing under maximal leakage privacy constraints. | Jiachun Liao, Lalitha Sankar, Flvio P. Calmon, Vincent Y. F. Tan |
| 2016 | ICML | Correcting Forecasts with Multifactor Neural Attention. | Matthew Riemer, Aditya Vempaty, Flvio P. Calmon, Fenno F. Terry Heath III, Richard Hull, Elham Khabiri |
| 2015 | ISIT | Fundamental limits of perfect privacy. | Flvio P. Calmon, Ali Makhdoumi, Muriel Mdard |
| 2015 | ISIT | Strong data processing inequalities in power-constrained Gaussian channels. | Flvio P. Calmon, Yury Polyanskiy, Yihong Wu |
| 2015 | ISIT | Forgot your password: Correlation dilution. | Ali Makhdoumi, Flvio P. Calmon, Muriel Mdard |
| 2014 | ITW | An exploration of the role of principal inertia components in information theory. | Flvio P. Calmon, Mayank Varia, Muriel Mdard |