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Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values


Sep 21, 2021
Haewon Jeong, Hao Wang, Flavio P. Calmon


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Learning While Dissipating Information: Understanding the Generalization Capability of SGLD


Feb 05, 2021
Hao Wang, Yizhe Huang, Rui Gao, Flavio P. Calmon


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Local Differential Privacy Is Equivalent to Contraction of $E_γ$-Divergence


Feb 02, 2021
Shahab Asoodeh, Maryam Aliakbarpour, Flavio P. Calmon


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Privacy Analysis of Online Learning Algorithms via Contraction Coefficients


Dec 20, 2020
Shahab Asoodeh, Mario Diaz, Flavio P. Calmon

* Submitted 

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Three Variants of Differential Privacy: Lossless Conversion and Applications


Aug 14, 2020
Shahab Asoodeh, Jiachun Liao, Flavio P. Calmon, Oliver Kosut, Lalitha Sankar

* An extended version of our previous paper (arXiv:2001.05990) presented at ISIT'20 

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CPR: Classifier-Projection Regularization for Continual Learning


Jun 12, 2020
Sungmin Cha, Hsiang Hsu, Flavio P. Calmon, Taesup Moon


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To Split or Not to Split: The Impact of Disparate Treatment in Classification


Feb 12, 2020
Hao Wang, Hsiang Hsu, Mario Diaz, Flavio P. Calmon


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Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups


Feb 04, 2020
Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak, Flavio P. Calmon, Slava Voloshynovskiy

* Accepted as an oral presentation for ICASSP 2020 

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Privacy Amplification of Iterative Algorithms via Contraction Coefficients


Jan 17, 2020
Shahab Asoodeh, Mario Diaz, Flavio P. Calmon

* Submitted for publication 

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A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via $f$-Divergences


Jan 16, 2020
Shahab Asoodeh, Jiachun Liao, Flavio P. Calmon, Oliver Kosut, Lalitha Sankar

* Submitted for Publication 

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Correspondence Analysis Using Neural Networks


Feb 21, 2019
Hsiang Hsu, Salman Salamatian, Flavio P. Calmon

* Accepted to AISTATS 2019. Overlaps with arXiv:1806.08449 

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Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions


Jan 29, 2019
Hao Wang, Berk Ustun, Flavio P. Calmon


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Correspondence Analysis of Government Expenditure Patterns


Nov 29, 2018
Hsiang Hsu, Flavio P. Calmon, José Cândido Silveira Santos Filho, Andre P. Calmon, Salman Salamatian

* Presented at NIPS 2018 Workshop on Machine Learning for the Developing World 

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Privacy with Estimation Guarantees


Sep 18, 2018
Hao Wang, Lisa Vo, Flavio P. Calmon, Muriel Médard, Ken R. Duffy, Mayank Varia


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Deep Orthogonal Representations: Fundamental Properties and Applications


Jun 21, 2018
Hsiang Hsu, Salman Salamatian, Flavio P. Calmon

* 27 pages, 17 figures 

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On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning


May 11, 2018
Hao Wang, Berk Ustun, Flavio P. Calmon


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Generalizing Bottleneck Problems


May 10, 2018
Hsiang Hsu, Shahab Asoodeh, Salman Salamatian, Flavio P. Calmon

* 5 pages, 1 figure 

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Optimized Data Pre-Processing for Discrimination Prevention


Apr 11, 2017
Flavio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney


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