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05/06/2023
Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis
Factor analysis provides a canonical framework for imposing lower-dimens...
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02/23/2023
Fast Computation of Branching Process Transition Probabilities via ADMM
Branching processes are a class of continuous-time Markov chains (CTMCs)...
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02/22/2023
Inferring HIV Transmission Patterns from Viral Deep-Sequence Data via Latent Typed Point Processes
Viral deep-sequencing data play a crucial role toward understanding dise...
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11/27/2022
Detecting Changes in the Transmission Rate of a Stochastic Epidemic Model
Throughout the course of an epidemic, the rate at which disease spreads ...
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10/21/2022
The Stochastic Proximal Distance Algorithm
Stochastic versions of proximal methods have gained much attention in st...
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10/21/2022
Distance-to-Set Priors and Constrained Bayesian Inference
Constrained learning is prevalent in many statistical tasks. Recent work...
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06/22/2022
Bregman Power k-Means for Clustering Exponential Family Data
Recent progress in center-based clustering algorithms combats poor local...
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03/31/2022
Wi-Fi and Bluetooth Contact Tracing Without User Intervention
A custom Wi-Fi and Bluetooth indoor contact tracing system is created to...
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03/01/2022
Fitting a Stochastic Model of Intensive Care Occupancy to Noisy Hospitalization Time Series
Intensive care occupancy is an important indicator of health care stress...
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01/24/2022
Uniformly Ergodic Data-Augmented MCMC for Fitting the General Stochastic Epidemic Model to Incidence Data
Stochastic epidemic models provide an interpretable probabilistic descri...
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01/15/2022
Quasi-Newton acceleration of EM and MM algorithms via Broyden's method
The principle of majorization-minimization (MM) provides a general frame...
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12/15/2021
Likelihood-based inference for partially observed stochastic epidemics with individual heterogeneity
We develop a stochastic epidemic model progressing over dynamic networks...
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11/16/2021
Computational tools for assessing gene therapy under branching process models of mutation
Multitype branching processes are ideal for studying the population dyna...
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10/27/2021
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
Recent advances in center-based clustering continue to improve upon the ...
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09/09/2021
A Proximal Distance Algorithm for Likelihood-Based Sparse Covariance Estimation
This paper addresses the task of estimating a covariance matrix under a ...
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02/24/2021
Community Detection in Weighted Multilayer Networks with Ambient Noise
We introduce a novel class of stochastic blockmodel for multilayer weigh...
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11/12/2020
Kernel k-Means, By All Means: Algorithms and Strong Consistency
Kernel k-means clustering is a powerful tool for unsupervised learning o...
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08/04/2020
Biconvex Clustering
Convex clustering has recently garnered increasing interest due to its a...
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02/20/2020
A Scalable Framework for Sparse Clustering Without Shrinkage
Clustering, a fundamental activity in unsupervised learning, is notoriou...
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01/10/2020
Entropy Regularized Power k-Means Clustering
Despite its well-known shortcomings, k-means remains one of the most wid...
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10/09/2019
Likelihood-based Inference for Partially Observed Epidemics on Dynamic Networks
We propose a generative model and an inference scheme for epidemic proce...
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03/29/2018
Structural Risk Minimization for C^1,1(R^d) Regression
One means of fitting functions to high-dimensional data is by providing ...
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01/05/2018
Combination of Hyperband and Bayesian Optimization for Hyperparameter Optimization in Deep Learning
Deep learning has achieved impressive results on many problems. However,...
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11/14/2017
Automatic Conflict Detection in Police Body-Worn Audio
Automatic conflict detection has grown in relevance with the advent of b...
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11/14/2017
Automatic Conflict Detection in Police Body-Worn Video
Automatic conflict detection has grown in relevance with the advent of b...
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11/03/2017
Generalized Linear Model Regression under Distance-to-set Penalties
Estimation in generalized linear models (GLM) is complicated by the pres...
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11/06/2014
