Carl Edward Rasmussen
24 papers · 2005–2024 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 42% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Carl Edward Rasmussen?
3 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.
with Mark van der Wilk, Vidhi Lalchand, James Hensman
10 papers
· 2014–2024
· NeurIPS, JMLR, ICML
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Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees
JMLR 2024
Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
NeurIPS 2022
Kernel Identification Through Transformers
NeurIPS 2021
Marginalised Gaussian Processes with Nested Sampling
NeurIPS 2021
Convergence of Sparse Variational Inference in Gaussian Processes Regression
JMLR 2020
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models
ICML 2019
Rates of Convergence for Sparse Variational Gaussian Process Regression
ICML 2019
Convolutional Gaussian Processes
NeurIPS 2017
Understanding Probabilistic Sparse Gaussian Process Approximations
NeurIPS 2016
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models
NeurIPS 2014
10 papers whose co-authors appear nowhere else under this name
Clipping Loops for Sample-Efficient Dialogue Policy Optimisation
NAACL 2021
Deep Structured Mixtures of Gaussian Processes
AISTATS 2020
Ensembling geophysical models with Bayesian Neural Networks
NeurIPS 2020
Deep Convolutional Networks as shallow Gaussian Processes
ICLR 2019
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos
ICML 2018
Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs
NeurIPS 2017
Sparse Spectrum Gaussian Process Regression
JMLR 2010
The Need for Open Source Software in Machine Learning
JMLR 2007
A Unifying View of Sparse Approximate Gaussian Process Regression
JMLR 2005
Assessing Approximate Inference for Binary Gaussian Process Classification
JMLR 2005