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09/14/2023
Beta quantile regression for robust estimation of uncertainty in the presence of outliers
Quantile Regression (QR) can be used to estimate aleatoric uncertainty i...
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06/27/2023
On the Usefulness of Synthetic Tabular Data Generation
Despite recent advances in synthetic data generation, the scientific com...
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03/06/2023
Improved Differentially Private Regression via Gradient Boosting
We revisit the problem of differentially private squared error linear re...
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09/15/2022
Private Synthetic Data for Multitask Learning and Marginal Queries
We provide a differentially private algorithm for producing synthetic da...
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09/20/2021
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection
Despite impressive state-of-the-art performance on a wide variety of mac...
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03/11/2021
Differentially Private Query Release Through Adaptive Projection
We propose, implement, and evaluate a new algorithm for releasing answer...
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02/24/2021
Adversarial Robustness with Non-uniform Perturbations
Robustness of machine learning models is critical for security related a...
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10/18/2020
Addressing Variance Shrinkage in Variational Autoencoders using Quantile Regression
Estimation of uncertainty in deep learning models is of vital importance...
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06/15/2020
Robust Variational Autoencoder for Tabular Data with Beta Divergence
We propose a robust variational autoencoder with β divergence for tabula...
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02/07/2020
DropCluster: A structured dropout for convolutional networks
Dropout as a regularizer in deep neural networks has been less effective...
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10/16/2019
Dynamic Local Regret for Non-convex Online Forecasting
We consider online forecasting problems for non-convex machine learning ...
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10/02/2019
ROMark: A Robust Watermarking System Using Adversarial Training
The availability and easy access to digital communication increase the r...
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05/21/2019
Time-Smoothed Gradients for Online Forecasting
Here, we study different update rules in stochastic gradient descent (SG...
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11/13/2018
A Local Regret in Nonconvex Online Learning
We consider an online learning process to forecast a sequence of outcome...
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07/31/2018
