L
Lawrence Carin
Researcher at Duke University
Publications - 964
Citations - 37760
Lawrence Carin is an academic researcher from Duke University. The author has contributed to research in topics: Hidden Markov model & Bayesian probability. The author has an hindex of 84, co-authored 949 publications receiving 31928 citations. Previous affiliations of Lawrence Carin include Indian Institute of Technology Kanpur & University of Maryland, College Park.
Papers
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Bayesian Compressive Sensing
Shihao Ji,Ya Xue,Lawrence Carin +2 more
TL;DR: The underlying theory, an associated algorithm, example results, and comparisons to other compressive-sensing inversion algorithms in the literature are presented.
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Probabilistic Topic Models
TL;DR: In this paper, a review of probabilistic topic models can be found, which can be used to summarize a large collection of documents with a smaller number of distributions over words.
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Digital technology and COVID-19.
TL;DR: The past decade has allowed the development of a multitude of digital tools, now they can be used to remediate the COVID-19 outbreak.
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Sparse multinomial logistic regression: fast algorithms and generalization bounds
TL;DR: This paper introduces a true multiclass formulation based on multinomial logistic regression and derives fast exact algorithms for learning sparse multiclass classifiers that scale favorably in both the number of training samples and the feature dimensionality, making them applicable even to large data sets in high-dimensional feature spaces.
Journal Article
Multi-Task Learning for Classification with Dirichlet Process Priors
TL;DR: Experimental results on two real life MTL problems indicate that the proposed algorithms automatically identify subgroups of related tasks whose training data appear to be drawn from similar distributions are more accurate than simpler approaches such as single-task learning, pooling of data across all tasks, and simplified approximations to DP.