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.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
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.
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