Yee W. Teh
26 papers · 2006–2021 · 1 conference · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (8) πΊοΈ Taxonomy Completionist (24) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Trendsetter Combo
(6)
π
Conference Loyalist
(26)
π
Keyword Champion
(2)
π¬
Deep Specialist
(13)
π±
Topic Pioneer
ποΈ
Keyword Collector
(114)
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year
(7)
π
Century Club
(26)
π₯
Unstoppable
(7)
Conferences
NIPS (26)
Top co-authors
Research topics
Keywords
bayesian nonparametrics
(9)
bayesian inference
(8)
nonparametric bayesian
(4)
probabilistic model
(4)
probabilistic modeling
(4)
bayesian nonparametric model
(3)
markov chain monte carlo
(3)
variational inference
(3)
gamma process
(2)
stochastic processes
(2)
stick-breaking process
(2)
stochastic process
(2)
gibbs sampler
(2)
dirichlet process
(2)
gibbs sampling
(2)
collapsed variational inference
(2)
gaussian process
(2)
topic modeling
(2)
bayesian clustering
(2)
sequential monte carlo
(2)
Papers
Powerpropagation: A sparsity inducing weight reparameterisation
NIPS 2021
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
NIPS 2021
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
NIPS 2021
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
NIPS 2021
Group Equivariant Subsampling
NIPS 2021
BayesIMP: Uncertainty Quantification for Causal Data Fusion
NIPS 2021
On Contrastive Representations of Stochastic Processes
NIPS 2021
Learning Label Trees for Probabilistic Modelling of Implicit Feedback
NIPS 2012
MCMC for continuous-time discrete-state systems
NIPS 2012
Searching for objects driven by context
NIPS 2012
Scalable imputation of genetic data with a discrete fragmentation-coagulation process
NIPS 2012
Bayesian nonparametric models for ranked data
NIPS 2012
Gaussian process modulated renewal processes
NIPS 2011
Modelling Genetic Variations using Fragmentation-Coagulation Processes
NIPS 2011
Improvements to the Sequence Memoizer
NIPS 2010
Indian Buffet Processes with Power-law Behavior
NIPS 2009
Spatial Normalized Gamma Processes
NIPS 2009
An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering
NIPS 2008
The Infinite Factorial Hidden Markov Model
NIPS 2008
A mixture model for the evolution of gene expression in non-homogeneous datasets
NIPS 2008
The Mondrian Process
NIPS 2008
Dependent Dirichlet Process Spike Sorting
NIPS 2008
Bayesian Agglomerative Clustering with Coalescents
NIPS 2007
Collapsed Variational Inference for HDP
NIPS 2007
Cooled and Relaxed Survey Propagation for MRFs
NIPS 2007
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation
NIPS 2006