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David A. Knowles

Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis

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Oct 31, 2024
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The VampPrior Mixture Model

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Feb 06, 2024
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System Identification for Continuous-time Linear Dynamical Systems

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Aug 23, 2023
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Vector Embeddings by Sequence Similarity and Context for Improved Compression, Similarity Search, Clustering, Organization, and Manipulation of cDNA Libraries

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Aug 08, 2023
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Faithful Heteroscedastic Regression with Neural Networks

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Dec 18, 2022
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Variational Variance: Simple and Reliable Predictive Variance Parameterization

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Jun 11, 2020
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Stochastic gradient variational Bayes for gamma approximating distributions

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Sep 04, 2015
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An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process

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Jun 26, 2015
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Beta diffusion trees and hierarchical feature allocations

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Apr 03, 2015
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Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression

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Jul 28, 2014
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