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01/30/2023
Deep networks for system identification: a Survey
Deep learning is a topic of considerable current interest. The availabil...
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11/10/2022
Spatiotemporal k-means
Spatiotemporal data is readily available due to emerging sensor and data...
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05/13/2022
A Relaxation Approach to Feature Selection for Linear Mixed Effects Models
Linear Mixed-Effects (LME) models are a fundamental tool for modeling co...
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10/19/2021
Theoretical Advances in Current Estimation and Navigation from a Glider-Based Acoustic Doppler Current Profiler (ADCP)
We examine acoustic Doppler current profiler (ADCP) measurements from un...
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09/25/2021
Analysis and Methods to Mitigate Effects of Under-reporting in Count Data
Under-reporting of count data poses a major roadblock for prediction and...
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08/16/2021
Robust Trimmed k-means
Clustering is a fundamental tool in unsupervised learning, used to group...
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05/14/2021
A feasibility study of a hyperparameter tuning approach to automated inverse planning in radiotherapy
Radiotherapy inverse planning requires treatment planners to modify mult...
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03/24/2021
Analysis of Truncated Orthogonal Iteration for Sparse Eigenvector Problems
A wide range of problems in computational science and engineering requir...
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05/24/2019
On the Global Minimizers of Real Robust Phase Retrieval with Sparse Noise
We study a class of real robust phase retrieval problems under a Gaussia...
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05/21/2019
Time-varying Autoregression with Low Rank Tensors
We present a windowed technique to learn parsimonious time-varying autor...
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11/28/2018
Basis Pursuit Denoise with Nonsmooth Constraints
Level-set optimization formulations with data-driven constraints minimiz...
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05/24/2018
Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM
Many real-world data sets, especially in biology, are produced by highly...
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05/19/2018
M-estimation with the Trimmed l1 Penalty
We study high-dimensional M-estimators with the trimmed ℓ_1 penalty. Whi...
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04/23/2018
Simultaneous shot inversion for nonuniform geometries using fast data interpolation
Stochastic optimization is key to efficient inversion in PDE-constrained...
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08/26/2017
Distributed Bundle Adjustment
Most methods for Bundle Adjustment (BA) in computer vision are either ce...
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10/04/2016
A SMART Stochastic Algorithm for Nonconvex Optimization with Applications to Robust Machine Learning
In this paper, we show how to transform any optimization problem that ar...
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05/26/2016
A General Family of Trimmed Estimators for Robust High-dimensional Data Analysis
We consider the problem of robustifying high-dimensional structured esti...
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01/19/2016
Variable projection without smoothness
The variable projection technique solves structured optimization problem...
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12/05/2013
