research
∙
07/15/2023
Variational Inference with Gaussian Score Matching
Variational inference (VI) is a method to approximate the computationall...
share
research
∙
09/21/2022
Variational Inference for Infinitely Deep Neural Networks
We introduce the unbounded depth neural network (UDN), an infinitely dee...
research
∙
07/19/2022
Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse
Variational autoencoders (VAEs) suffer from posterior collapse, where th...
research
∙
06/28/2022
Reconstructing the Universe with Variational self-Boosted Sampling
Forward modeling approaches in cosmology have made it possible to recons...
research
∙
05/31/2021
Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference
Bayesian phylogenetic inference is often conducted via local or sequenti...
research
∙
02/28/2021
Hierarchical Inducing Point Gaussian Process for Inter-domain Observations
We examine the general problem of inter-domain Gaussian Processes (GPs):...
research
∙
11/24/2020
Invariant Representation Learning for Treatment Effect Estimation
The defining challenge for causal inference from observational data is t...
research
∙
03/23/2020
Markovian Score Climbing: Variational Inference with KL(p||q)
Modern variational inference (VI) uses stochastic gradients to avoid int...
research
∙
03/11/2020
General linear-time inference for Gaussian Processes on one dimension
Gaussian Processes (GPs) provide a powerful probabilistic framework for ...
research
∙
06/06/2019
Counterfactual Inference for Consumer Choice Across Many Product Categories
This paper proposes a method for estimating consumer preferences among d...
research
∙
01/22/2018
Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data
This paper analyzes consumer choices over lunchtime restaurants using da...
research
∙
09/28/2017
Structured Embedding Models for Grouped Data
Word embeddings are a powerful approach for analyzing language, and expo...
research
∙
03/23/2017
Dynamic Bernoulli Embeddings for Language Evolution
Word embeddings are a powerful approach for unsupervised analysis of lan...
research
∙
08/06/2016
Deep Survival Analysis
The electronic health record (EHR) provides an unprecedented opportunity...
research
∙
07/02/2015
Correlated Random Measures
We develop correlated random measures, random measures where the atom we...
research
∙
11/07/2014
Variational Tempering
Variational inference (VI) combined with data subsampling enables approx...
research
∙
06/13/2014
Smoothed Gradients for Stochastic Variational Inference
Stochastic variational inference (SVI) lets us scale up Bayesian computa...
research
∙
01/16/2013
A Nested HDP for Hierarchical Topic Models
We develop a nested hierarchical Dirichlet process (nHDP) for hierarchic...
research
∙
12/12/2012
Learning with Scope, with Application to Information Extraction and Classification
In probabilistic approaches to classification and information extraction...
research
∙
09/22/2012
A Bayesian Nonparametric Approach to Image Super-resolution
Super-resolution methods form high-resolution images from low-resolution...
research
∙
06/27/2012
Variational Bayesian Inference with Stochastic Search
Mean-field variational inference is a method for approximate Bayesian po...
research
∙
06/27/2012
Sparse Stochastic Inference for Latent Dirichlet allocation
We present a hybrid algorithm for Bayesian topic models that combines th...
research
∙
06/20/2012
Nonparametric Bayes Pachinko Allocation
Recent advances in topic models have explored complicated structured dis...
research
∙
06/18/2012
Nonparametric variational inference
Variational methods are widely used for approximate posterior inference....
research
∙
06/13/2012
Continuous Time Dynamic Topic Models
In this paper, we develop the continuous time dynamic topic model (cDTM)...
research
∙
05/09/2012
Multilingual Topic Models for Unaligned Text
We develop the multilingual topic model for unaligned text (MuTo), a pro...
research
∙
09/02/2011
The Stick-Breaking Construction of the Beta Process as a Poisson Process
We show that the stick-breaking construction of the beta process due to ...
research
∙
03/24/2011