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08/04/2022
CFARnet: deep learning for target detection with constant false alarm rate
We consider the problem of learning detectors with a Constant False Alar...
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06/12/2022
Learning to Detect with Constant False Alarm Rate
We consider the use of machine learning for hypothesis testing with an e...
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10/26/2021
On the Optimization Landscape of Maximum Mean Discrepancy
Generative models have been successfully used for generating realistic s...
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10/24/2021
Learning to Estimate Without Bias
We consider the use of deep learning for parameter estimation. We propos...
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03/21/2021
Conditional Frechet Inception Distance
We consider distance functions between conditional distributions functio...
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10/10/2020
Maximin Optimization for Binary Regression
We consider regression problems with binary weights. Such optimization p...
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04/21/2020
Normalizing Flow Regression
In this letter we propose a convex approach to learning expressive scala...
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03/10/2020
PnP-Net: A hybrid Perspective-n-Point Network
We consider the robust Perspective-n-Point (PnP) problem using a hybrid ...
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02/16/2020
Fair Principal Component Analysis and Filter Design
We consider Fair Principal Component Analysis (FPCA) and search for a lo...
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10/27/2019
Spectral Algorithm for Low-rank Multitask Regression
Multitask learning, i.e. taking advantage of the relatedness of individu...
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01/28/2019
ML for Flood Forecasting at Scale
Effective riverine flood forecasting at scale is hindered by a multitude...
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01/03/2019
Towards Global Remote Discharge Estimation: Using the Few to Estimate The Many
Learning hydrologic models for accurate riverine flood prediction at sca...
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05/19/2018
Learning to Detect
In this paper we consider Multiple-Input-Multiple-Output (MIMO) detectio...
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06/04/2017
Deep MIMO Detection
In this paper, we consider the use of deep neural networks in the contex...
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11/20/2015
Joint Inverse Covariances Estimation with Mutual Linear Structure
We consider the problem of joint estimation of structured inverse covari...
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04/07/2014
Tyler's Covariance Matrix Estimator in Elliptical Models with Convex Structure
We address structured covariance estimation in elliptical distributions ...
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06/18/2013
Group Symmetry and non-Gaussian Covariance Estimation
We consider robust covariance estimation with group symmetry constraints...
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03/19/2013
Marginal Likelihoods for Distributed Parameter Estimation of Gaussian Graphical Models
We consider distributed estimation of the inverse covariance matrix, als...
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08/18/2008