Samuel Stanton
9 papers · 2020–2023 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(6)
Learning Types · Machine Learning
(5)
Artificial Intelligence
(3)
Deep Learning
(3)
Application Areas
(2)
Bayesian & Probabilistic
(2)
Learning Paradigms
(2)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Architectures
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Models
(1)
Keywords
bayesian optimization
(5)
gaussian process
(4)
active learning
(3)
uncertainty quantification
(2)
epistemic uncertainty
(1)
knowledge distillation
(1)
online decision making
(1)
continuous control
(1)
model-based reinforcement learning
(1)
protein design
(1)
stochastic variational inference
(1)
multi-objective optimization
(1)
multi-armed bandit
(1)
denoising autoencoder
(1)
convolutional neural network
(1)
entropy regularization
(1)
inductive bia
(1)
lie group
(1)
world model
(1)
discrete diffusion
(1)
Papers
Bayesian Optimization with Conformal Prediction Sets
AISTATS 2023
GAUCHE: A Library for Gaussian Processes in Chemistry
NeurIPS 2023
Protein Design with Guided Discrete Diffusion
NeurIPS 2023
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
ICML 2022
Conditioning Sparse Variational Gaussian Processes for Online Decision-making
NeurIPS 2021
Does Knowledge Distillation Really Work?
NeurIPS 2021
Kernel Interpolation for Scalable Online Gaussian Processes
AISTATS 2021
On the Model-Based Stochastic Value Gradient for Continuous Reinforcement Learning
L4DC 2021
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
ICML 2020