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List of works by Yee Whye Teh

A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation

scientific article published in January 2007

A fast learning algorithm for deep belief nets

scientific article

A hybrid sampler for Poisson-Kingman mixture models

A mixture model for the evolution of gene expression in non-homogeneous datasets

AI for social good: unlocking the opportunity for positive impact

scientific article published on 18 May 2020

An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering

Asynchronous Anytime Sequential Monte Carlo

scientific article published in January 2014

Augmented Neural ODEs

Automatic Alignment of Local Representations

scientific article published in January 2003

Bayesian Agglomerative Clustering with Coalescents

scientific article published in January 2008

Bayesian Hierarchical Community Discovery

scientific article published in January 2013

Bayesian Nonparametrics for Sparse Dynamic Networks

Bayesian nonparametric models for ranked data

scientific article published in January 2012

Causal Inference via Kernel Deviance Measures

Collapsed Variational Inference for HDP

scientific article published in January 2008

Concave-Convex Adaptive Rejection Sampling

Continual Unsupervised Representation Learning

Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders

Cooled and Relaxed Survey Propagation for MRFs

Dependent Dirichlet Process Spike Sorting

Directed Graphs

Distral: Robust multitask reinforcement learning

scientific article published in January 2017

Distributed Bayesian Posterior Sampling via Moment Sharing

scientific article published in January 2014

Effectiveness and resource requirements of test, trace and isolate strategies for COVID in the UK

scientific article published in March 2021

Expectation Particle Belief Propagation

Faithful Inversion of Generative Models for Effective Amortized Inference

Filtering Variational Objectives

scientific article published in January 2017

Gaussian Processes for Survival Analysis

scientific article published in January 2016

Gaussian process modulated renewal processes

scientific article published in January 2011

Guest Editors' Introduction to the Special Issue on Bayesian Nonparametrics

scientific article published on 01 February 2015

Improvements to the Sequence Memoizer

Indian Buffet Processes with Power-law Behavior

scientific article published in January 2009

Inferring the effectiveness of government interventions against COVID-19

scientific article published on 15 December 2020

Learning Label Trees for Probabilistic Modelling of Implicit Feedback

scientific article published in January 2012

Learning to Parse Images

Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space

Linear Response for Approximate Inference

scientific article published in January 2004

Linear response algorithms for approximate inference in graphical models.

scientific article published in January 2004

MCMC for continuous-time discrete-state systems

scientific article published in January 2012

Making Latin Manuscripts Searchable using gHMM's

scientific article published in January 2005

Modelling Genetic Variations using Fragmentation-Coagulation Processes

scientific article published in January 2011

Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data

Mondrian Forests: Efficient Online Random Forests

scientific article published in January 2014

Random Tessellation Forests

Rate-coded Restricted Boltzmann Machines for Face Recognition

Rediscovery of Good-Turing estimators via Bayesian nonparametrics

scientific article published on 29 July 2015

Scalable imputation of genetic data with a discrete fragmentation-coagulation process

scientific article published in January 2012

Searching for objects driven by context

scientific article published in January 2012

Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects

Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes

Spatial Normalized Gamma Processes

scientific article published in January 2009

Stacked Capsule Autoencoders

scientific article published in January 2019

Stochastic Expectation Maximization with Variance Reduction

Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex

The Infinite Factorial Hidden Markov Model

The Mondrian Process

scientific article published in January 2009

The Unified Propagation and Scaling Algorithm

Unsupervised discovery of nonlinear structure using contrastive backpropagation

scientific article published on 01 July 2006

Variational Bayesian Optimal Experimental Design