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1
Problems in Variable Selection: False Discovery Rate Control and Variational Inference.
Problems in Variable Selection: False Discovery Rate Control and Variational Inference.
Lin, Buyu.Statistics. | Harvard University. | 2024
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2
Variational Inference in High-dimensional Bayesian Regression Models.
Variational Inference in High-dimensional Bayesian Regression Models.
Qiu, Jiaze.Statistics. | Harvard University. | 2024
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3
Advances in Monte Carlo Variational Inference and Applied Probabilistic Modeling
Advances in Monte Carlo Variational Inference and Applied Probabilistic Modeling
Miller, Andrew Colin. | Harvard University | 2018
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4
Multi-Level Latent Variable Models for Integrating Multiple Phenotypes for Mental Disorders.
Multi-Level Latent Variable Models for Integrating Multiple Phenotypes for Mental Disorders.
Zhao, Yinjun.Biostatistics. | Columbia University. | 2024
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5
But What Did You Actually Learn? Improving Inference for Non-Identifiable Deep Latent Variable Models- [electronic resource]
But What Did You Actually Learn? Improving Inference for Non-Identifiable Deep Latent Variable Models- [electronic resource]
Yacoby, Yaniv.Engineering and Applied Sciences - C | Harvard University. | 2023
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6
Randomized Methods and Statistical Inference- [electronic resource]
Randomized Methods and Statistical Inference- [electronic resource]
Liang, Feynman.Statistics. | University of California, Berkeley. | 2022
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7
Time-Varying Parameter Selection with Spike and Slab Prior.
Time-Varying Parameter Selection with Spike and Slab Prior.
Huang, Yuanchen.Applied Mathematics and Statistics | State University of New York at Stony Brook. | 2021
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8
Unsupervised Learning of Low-Dimensional Dynamical Representations from Spatiotemporal Data.
Unsupervised Learning of Low-Dimensional Dynamical Representations from Spatiotemporal Data.
Farnoosh, Amirreza.Electrical and Computer Enginee | Northeastern University. | 2021
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