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Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection


Sep 20, 2021
Haleh Akrami, Anand Joshi, Sergul Aydore, Richard Leahy

* arXiv admin note: substantial text overlap with arXiv:2010.09042 

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Differentially Private Query Release Through Adaptive Projection


Mar 11, 2021
Sergul Aydore, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Ankit Siva


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Adversarial Robustness with Non-uniform Perturbations


Feb 24, 2021
Ecenaz Erdemir, Jeffrey Bickford, Luca Melis, Sergul Aydore

* 21 pages, 6 figures 

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Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression


Oct 18, 2020
Haleh Akrami, Anand A. Joshi, Sergul Aydore, Richard M. Leahy


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Robust Variational Autoencoder for Tabular Data with Beta Divergence


Jun 16, 2020
Haleh Akrami, Sergul Aydore, Richard M. Leahy, Anand A. Joshi


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DropCluster: A structured dropout for convolutional networks


Feb 07, 2020
Liyan Chen, Philip Gautier, Sergul Aydore

* 11 pages, 10 figures, under review 

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Dynamic Local Regret for Non-convex Online Forecasting


Oct 25, 2019
Sergul Aydore, Tianhao Zhu, Dean Foster

* NeurIPS2019. arXiv admin note: substantial text overlap with arXiv:1905.08850 

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ROMark: A Robust Watermarking System Using Adversarial Training


Oct 02, 2019
Bingyang Wen, Sergul Aydore

* 5 pages, 1 figure, Machine Learning with Guarantees workshop at NeurIPS 2019 

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Time-Smoothed Gradients for Online Forecasting


May 21, 2019
Tianhao Zhu, Sergul Aydore

* ICML 2019, time series workshop 

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A Local Regret in Nonconvex Online Learning


Nov 28, 2018
Sergul Aydore, Lee Dicker, Dean Foster

* Continual Workshop at NIPS 2018, 2 figures, 9 pages 

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Using Feature Grouping as a Stochastic Regularizer for High-Dimensional Noisy Data


Jul 31, 2018
Sergul Aydore, Bertrand Thirion, Olivier Grisel, Gael Varoquaux

* 12 pages, 14 figures 

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