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06/14/2023
Bayesian Non-linear Latent Variable Modeling via Random Fourier Features
The Gaussian process latent variable model (GPLVM) is a popular probabil...
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03/13/2023
Kernel Density Bayesian Inverse Reinforcement Learning
Inverse reinforcement learning (IRL) is a powerful framework to infer an...
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10/15/2021
Multi-group Gaussian Processes
Gaussian processes (GPs) are pervasive in functional data analysis, mach...
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10/13/2021
Variance Minimization in the Wasserstein Space for Invariant Causal Prediction
Selecting powerful predictors for an outcome is a cornerstone task for m...
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10/12/2021
Nonnegative spatial factorization
Gaussian processes are widely used for the analysis of spatial data due ...
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03/26/2021
Active multi-fidelity Bayesian online changepoint detection
Online algorithms for detecting changepoints, or abrupt shifts in the be...
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02/12/2021
Contrastive latent variable modeling with application to case-control sequencing experiments
High-throughput RNA-sequencing (RNA-seq) technologies are powerful tools...
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06/19/2020
Latent variable modeling with random features
Gaussian process-based latent variable models are flexible and theoretic...
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03/17/2020
Nonparametric Deconvolution Models
We describe nonparametric deconvolution models (NDMs), a family of Bayes...
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11/16/2019
Bayesian Ordinal Quantile Regression with a Partially Collapsed Gibbs Sampler
Unlike standard linear regression, quantile regression captures the rela...
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10/11/2019
Nonparametric Bayesian multi-armed bandits for single cell experiment design
The problem of maximizing cell type discovery under budget constraints i...
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06/01/2019
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes
Multi-output Gaussian processes (GPs) are a flexible Bayesian nonparamet...
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05/30/2019
Defining Admissible Rewards for High Confidence Policy Evaluation
A key impediment to reinforcement learning (RL) in real applications wit...
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05/24/2019
Sequential Gaussian Processes for Online Learning of Nonstationary Functions
Many machine learning problems can be framed in the context of estimatin...
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08/14/2018
An Optimal Policy for Patient Laboratory Tests in Intensive Care Units
Laboratory testing is an integral tool in the management of patient care...
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05/18/2018
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits
We address the problem of regret minimization in logistic contextual ban...
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10/30/2017
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
Recommendation systems occupy an expanding role in everyday decision mak...
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05/30/2017
Large Linear Multi-output Gaussian Process Learning
Gaussian processes (GPs), or distributions over arbitrary functions in a...
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04/20/2017
A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units
The management of invasive mechanical ventilation, and the regulation of...
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03/27/2017
Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction
In real-time monitoring of hospital patients, high-quality inference of ...
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01/09/2017
Coupled Compound Poisson Factorization
We present a general framework, the coupled compound Poisson factorizati...
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08/17/2016
Dynamic Collaborative Filtering with Compound Poisson Factorization
Model-based collaborative filtering analyzes user-item interactions to i...
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04/13/2016
Hierarchical Compound Poisson Factorization
Non-negative matrix factorization models based on a hierarchical Gamma-P...
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02/16/2016
Unsupervised Domain Adaptation Using Approximate Label Matching
Domain adaptation addresses the problem created when training data is ge...
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12/08/2015
Nonparametric Reduced-Rank Regression for Multi-SNP, Multi-Trait Association Mapping
Genome-wide association studies have proven to be essential for understa...
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04/13/2015
Adaptive Randomized Dimension Reduction on Massive Data
The scalability of statistical estimators is of increasing importance in...
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11/11/2014
Bayesian group latent factor analysis with structured sparsity
Latent factor models are the canonical statistical tool for exploratory ...
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11/07/2014
