← Authors

Mark Girolami

24 papers · 2006–2025 · 4 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (19) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (7) 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) πŸ—ΊοΈ Taxonomy Completionist (16) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (4) πŸ† Keyword Champion πŸ’Ž Century Club (24) πŸ—ƒοΈ Keyword Collector (54) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (12) πŸ“ˆ Trend Setter

Conferences

NIPS (11) AISTATS (5) ICML (5) JMLR (3)

Top co-authors

François-Xavier Briol (7) Chris Oates (4) Seppo Virtanen (3) Alessandro Barp (3) Lester Mackey (3) Theodoros Damoulas (2) Wilson Ye Chen (2) Marcelo Hartmann (2) Arto Klami (2) Bernardo Williams Moreno Sanchez (1)

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