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06/05/2023
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models
Latent Gaussian models have a rich history in statistics and machine lea...
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02/25/2022
High-Dimensional Sparse Bayesian Learning without Covariance Matrices
Sparse Bayesian learning (SBL) is a powerful framework for tackling the ...
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10/10/2021
Mixture Model Auto-Encoders: Deep Clustering through Dictionary Learning
State-of-the-art approaches for clustering high-dimensional data utilize...
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05/21/2021
Covariance-Free Sparse Bayesian Learning
Sparse Bayesian learning (SBL) is a powerful framework for tackling the ...
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09/15/2020
Autoregressive Knowledge Distillation through Imitation Learning
The performance of autoregressive models on natural language generation ...
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10/23/2018