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08/23/2023
System Identification for Continuous-time Linear Dynamical Systems
The problem of system identification for the Kalman filter, relying on t...
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08/08/2023
Vector Embeddings by Sequence Similarity and Context for Improved Compression, Similarity Search, Clustering, Organization, and Manipulation of cDNA Libraries
This paper demonstrates the utility of organized numerical representatio...
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12/18/2022
Faithful Heteroscedastic Regression with Neural Networks
Heteroscedastic regression models a Gaussian variable's mean and varianc...
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11/27/2020
Active Learning in CNNs via Expected Improvement Maximization
Deep learning models such as Convolutional Neural Networks (CNNs) have d...
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06/08/2020
Variational Variance: Simple and Reliable Predictive Variance Parameterization
An often overlooked sleight of hand performed with variational autoencod...
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05/28/2019
A New Distribution on the Simplex with Auto-Encoding Applications
We construct a new distribution for the simplex using the Kumaraswamy di...
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09/04/2015
Stochastic gradient variational Bayes for gamma approximating distributions
While stochastic variational inference is relatively well known for scal...
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06/26/2015
An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process
Stochastic variational inference (SVI) is emerging as the most promising...
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03/17/2014
A reversible infinite HMM using normalised random measures
We present a nonparametric prior over reversible Markov chains. We use c...
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09/26/2013
The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models
We propose a probabilistic model to infer supervised latent variables in...
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03/13/2013
A dependent partition-valued process for multitask clustering and time evolving network modelling
The fundamental aim of clustering algorithms is to partition data points...
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06/28/2012
Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression
We propose a general algorithm for approximating nonstandard Bayesian po...
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10/19/2011
Gaussian Process Regression Networks
We introduce a new regression framework, Gaussian process regression net...
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06/13/2011