Yee W. Teh
26 papers · 2006–2021 · 1 venue · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 18 separate collaboration groups - the largest holds only 15% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Yee W. Teh?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
13 papers whose co-authors appear nowhere else under this name
BayesIMP: Uncertainty Quantification for Causal Data Fusion
NeurIPS 2021
Group Equivariant Subsampling
NeurIPS 2021
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
NeurIPS 2021
On Contrastive Representations of Stochastic Processes
NeurIPS 2021
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
NeurIPS 2021
Powerpropagation: A sparsity inducing weight reparameterisation
NeurIPS 2021
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
NeurIPS 2021
Bayesian nonparametric models for ranked data
NeurIPS 2012
Learning Label Trees for Probabilistic Modelling of Implicit Feedback
NeurIPS 2012
Searching for objects driven by context
NeurIPS 2012
A mixture model for the evolution of gene expression in non-homogeneous datasets
NeurIPS 2008
The Infinite Factorial Hidden Markov Model
NeurIPS 2008
Cooled and Relaxed Survey Propagation for MRFs
NeurIPS 2007