Mark Girolami
24 papers · 2006–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (16) π§ Keyword Pioneer π Conference Polyglot (4)
πΊοΈ
Taxonomy Completionist
(16)
π
Interdisciplinary Bridge
π£
Hot Topic Early Bird
π
Keyword Trendsetter Combo
(4)
π
Keyword Champion
π
Century Club
(24)
ποΈ
Keyword Collector
(54)
π
Conference Pioneer
π₯
Unstoppable
(12)
π
Trend Setter
Conferences
NIPS (11)
AISTATS (5)
ICML (5)
JMLR (3)
Top co-authors
Keywords
bayesian inference
(6)
variational inference
(6)
gaussian process
(6)
numerical integration
(5)
kernel methods
(3)
markov chain monte carlo
(2)
classification
(2)
probabilistic model
(2)
stein discrepancy
(2)
topic model
(2)
probabilistic modeling
(2)
posterior distribution
(2)
bayesian quadrature
(2)
parameter estimation
(1)
gaussian processes
(1)
maximum entropy
(1)
logistic regression
(1)
spectral clustering
(1)
multi-task learning
(1)
convex optimization
(1)
Papers
Autoencoders in Function Space
JMLR 2025
Generating Origin-Destination Matrices in Neural Spatial Interaction Models
NIPS 2024
Targeted Separation and Convergence with Kernel Discrepancies
JMLR 2024
Riemannian Laplace Approximation with the Fisher Metric
AISTATS 2024
Random Grid Neural Processes for Parametric Partial Differential Equations
ICML 2023
Lagrangian manifold Monte Carlo on Monge patches
AISTATS 2022
Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness
JMLR 2021
Dynamic content based ranking
AISTATS 2020
Precision-Recall Balanced Topic Modelling
NIPS 2019
Minimum Stein Discrepancy Estimators
NIPS 2019
Stein Point Markov Chain Monte Carlo
ICML 2019
Multi-resolution Multi-task Gaussian Processes
NIPS 2019
Bayesian Quadrature for Multiple Related Integrals
ICML 2018
On the Sampling Problem for Kernel Quadrature
ICML 2017
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models
NIPS 2017
Control Functionals for Quasi-Monte Carlo Integration
AISTATS 2016
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees
NIPS 2015
Ordinal Mixed Membership Models
ICML 2015
Bat Call Identification with Gaussian Process Multinomial Probit Regression and a Dynamic Time Warping Kernel
AISTATS 2014
Analysis of SVM with Indefinite Kernels
NIPS 2009
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
NIPS 2008
Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm
NIPS 2006
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation
NIPS 2006
Data Integration for Classification Problems Employing Gaussian Process Priors
NIPS 2006