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Lalitha Sankar

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Parameter Optimization with Conscious Allocation (POCA)

Dec 29, 2023
Joshua Inman, Tanmay Khandait, Giulia Pedrielli, Lalitha Sankar

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Addressing GAN Training Instabilities via Tunable Classification Losses

Oct 27, 2023
Monica Welfert, Gowtham R. Kurri, Kyle Otstot, Lalitha Sankar

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A Semi-Supervised Approach for Power System Event Identification

Sep 18, 2023
Nima Taghipourbazargani, Lalitha Sankar, Oliver Kosut

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Towards Addressing GAN Training Instabilities: Dual-objective GANs with Tunable Parameters

Feb 28, 2023
Monica Welfert, Kyle Otstot, Gowtham R. Kurri, Lalitha Sankar

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Smoothly Giving up: Robustness for Simple Models

Feb 17, 2023
Tyler Sypherd, Nathan Stromberg, Richard Nock, Visar Berisha, Lalitha Sankar

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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

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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

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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

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$α$-GAN: Convergence and Estimation Guarantees

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

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