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Robust Model Selection of Non Tree-Structured Gaussian Graphical Models


Nov 10, 2022
Abrar Zahin, Rajasekhar Anguluri, Oliver Kosut, Lalitha Sankar, Gautam Dasarathy


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The Saddle-Point Accountant for Differential Privacy


Aug 20, 2022
Wael Alghamdi, Shahab Asoodeh, Flavio P. Calmon, Juan Felipe Gomez, Oliver Kosut, Lalitha Sankar, Fei Wei

* 31 pages, 4 figures 

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Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime


Jun 25, 2022
Wael Alghamdi, Shahab Asoodeh, Flavio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei

* 41 pages, 5 figures 

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AugLoss: A Learning Methodology for Real-World Dataset Corruption


Jun 05, 2022
Kyle Otstot, John Kevin Cava, Tyler Sypherd, Lalitha Sankar

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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$α$-GAN: Convergence and Estimation Guarantees


May 12, 2022
Gowtham R. Kurri, Monica Welfert, Tyler Sypherd, Lalitha Sankar

* Extended version of a paper accepted to ISIT 2022. 12 pages, 7 figures 

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A Machine Learning Framework for Event Identification via Modal Analysis of PMU Data


Feb 14, 2022
Nima T. Bazargani, Gautam Dasarathy, Lalitha Sankar, Oliver Kosut

* 10 pages, submitted to the IEEE Transactions on Power Systems 

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Being Properly Improper


Jun 18, 2021
Richard Nock, Tyler Sypherd, Lalitha Sankar


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Realizing GANs via a Tunable Loss Function


Jun 09, 2021
Gowtham R. Kurri, Tyler Sypherd, Lalitha Sankar

* 6 pages, 2 figures 

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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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On the alpha-loss Landscape in the Logistic Model


Jun 22, 2020
Tyler Sypherd, Mario Diaz, Lalitha Sankar, Gautam Dasarathy

* 5 pages, appeared in ISIT 2020 

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