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Yee W. Teh

26 papers · 2006–2021 · 1 conference · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (15) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (24) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (6) 🏠 Conference Loyalist (26) πŸ† Keyword Champion (2) πŸ”¬ Deep Specialist (13) 🌱 Topic Pioneer πŸ—ƒοΈ Keyword Collector (114) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (7) πŸ’Ž Century Club (26) πŸ”₯ Unstoppable (7)

Conferences

NIPS (26)

Top co-authors

Vinayak Rao (3) Dilan Gorur (3) Max Welling (2) Lloyd Elliott (2) Jan Gasthaus (2) Daniel M. Roy (2) Chris C Holmes (1) Tim G. J. Rudner (1) Michael A Osborne (1) Jurgen V. Gael (1)

Research topics

Probability (1)

Keywords

bayesian inference (8) bayesian nonparametrics (8) bayesian nonparametric (5) nonparametric bayesian (4) probabilistic model (4) probabilistic modeling (4) variational inference (3) bayesian nonparametric model (3) markov chain monte carlo (3) gamma process (2) stochastic process (2) stochastic processes (2) stick-breaking process (2) gibbs sampler (2) dirichlet process (2) gibbs sampling (2) collapsed variational inference (2) gaussian process (2) topic modeling (2) bayesian clustering (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