Michael Osborne
14 papers · 2012–2024 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (19) π§ Keyword Pioneer π£ Hot Topic Early Bird π Cross-Pollinator (15) π Interdisciplinary Bridge
π
Conference Polyglot
(6)
π
Academic Marathon
(12)
π
Century Club
(14)
π
Trend Setter
Conferences
AISTATS (5)
NIPS (3)
ICLR (2)
ICML (2)
AUTOML (1)
UAI (1)
Top co-authors
Keywords
gaussian process
(5)
variational inference
(3)
bayesian optimization
(3)
markov chain monte carlo
(2)
point process
(2)
numerical integration
(2)
poisson process
(2)
probabilistic model
(2)
bayesian quadrature
(2)
bayesian inference
(1)
marginal likelihood
(1)
reinforcement learning
(1)
neural architecture search
(1)
global optimization
(1)
uncertainty quantification
(1)
metric learning
(1)
stochastic process
(1)
hyperparameter optimization
(1)
conjugate gradient
(1)
kernel matrix
(1)
Papers
Walking the Values in Bayesian Inverse Reinforcement Learning
UAI 2024
Bayesian Generational Population-Based Training
AUTOML 2022
Revisiting Design Choices in Offline Model Based Reinforcement Learning
ICLR 2022
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
ICLR 2021
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective
NIPS 2020
Bayesian Optimization for Iterative Learning
NIPS 2020
AdaGeo: Adaptive Geometric Learning for Optimization and Sampling
AISTATS 2018
Distribution of Gaussian Process Arc Lengths
AISTATS 2017
GLASSES: Relieving The Myopia Of Bayesian Optimisation
AISTATS 2016
Latent Point Process Allocation
AISTATS 2016
Preconditioning Kernel Matrices
ICML 2016
Variational Inference for Gaussian Process Modulated Poisson Processes
ICML 2015
Active Learning of Model Evidence Using Bayesian Quadrature
NIPS 2012
Bayesian Quadrature for Ratios
AISTATS 2012