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1
Resource-Efficient Machine Learning via Count-Sketches and Locality-Sensitive Hashing (LSH).
Resource-Efficient Machine Learning via Count-Sketches and Locality-Sensitive Hashing (LSH).
Spring, Ryan Daniel.Computer Science. | Rice University. | 2020
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2
Topics on Statistical Inference for Extreme Values.
Topics on Statistical Inference for Extreme Values.
Zhang, Likun. | The Pennsylvania State University. | 2020
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3
Improved Methods for Detecting, Quantifying, and Classifying Genetic Diversity in Natural Populations.
Improved Methods for Detecting, Quantifying, and Classifying Genetic Diversity in Natural Populations.
Harris, Alexandre M. | The Pennsylvania State University. | 2020
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4
Application of Multiple Imputation in Propensity Score Methods with Partially Observed Covariates.
Application of Multiple Imputation in Propensity Score Methods with Partially Observed Covariates.
Ling, Albee. | Stanford University. | 2020
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5
Detecting Latent Signal in High Dimensions: Estimation in Gaussian Mixtures and Nonparametric Models.
Detecting Latent Signal in High Dimensions: Estimation in Gaussian Mixtures and Nonparametric Models.
Doss, Natalie C.Statistics and Data Science. | Yale University. | 2020
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6
Essays in Respondent Driven Sampling and Interpretable Machine Learning.
Essays in Respondent Driven Sampling and Interpretable Machine Learning.
Khusainova, Elena.Statistics and Data Science. | Yale University. | 2020
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