Michael A Osborne
15 papers · 2014–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Conference Polyglot (3) π Academic Marathon (11) π Interdisciplinary Bridge π Renaissance Researcher (5)
π§
Keyword Pioneer
π
Conference Polyglot
(3)
π₯
Mega-Team
(25)
π
Century Club
(15)
π
Trend Setter
ποΈ
Keyword Collector
(51)
π₯
Unstoppable
(5)
Conferences
NIPS (12)
AISTATS (2)
ICML (1)
Top co-authors
Keywords
bayesian optimization
(6)
gaussian process
(3)
bayesian quadrature
(3)
kernel methods
(3)
acquisition function
(2)
black-box optimization
(2)
numerical integration
(2)
surrogate model
(2)
exploration-exploitation tradeoff
(1)
kernel learning
(1)
policy optimization
(1)
markov chain monte carlo
(1)
sample efficiency
(1)
hyperparameter optimization
(1)
graph classification
(1)
imitation learning
(1)
parameter optimization
(1)
probabilistic inference
(1)
hyperparameter tuning
(1)
sparse approximation
(1)
Papers
Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes
AISTATS 2025
Time-varying Gaussian Process Bandits with Unknown Prior
AISTATS 2025
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal
NIPS 2024
Principled Bayesian Optimization in Collaboration with Human Experts
NIPS 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
ICML 2024
Bayesian Optimisation of Functions on Graphs
NIPS 2023
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
NIPS 2022
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels
NIPS 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
NIPS 2022
Bezier Gaussian Processes for Tall and Wide Data
NIPS 2022
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
NIPS 2021
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
NIPS 2021
Bayesian Optimization for Probabilistic Programs
NIPS 2016
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees
NIPS 2015
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature
NIPS 2014