Alexis Boukouvalas

5 papers · 2017–2022 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

AISTATS (2) ICML (2) JMLR (1)

Top co-authors

James Hensman (2) Enrique Munoz De Cote (1) Elvijs Sarkans (1) Keisuke Fujii (1) David Leslie (1) James Grant (1) Alexander G. de G. Matthews (1) Tom Nickson (1) Mark van der Wilk (1) Nicolas Durrande (1)

Research topics

Machine Learning (5) Optimization & Theory (5) Artificial Intelligence (2) Bayesian & Probabilistic · Machine Learning (2) Bayesian & Probabilistic · Artificial Intelligence (2) Deep Learning (1) Mathematics & Optimization (1) Core Methods (1) Learning Types (1) Models (1) Optimization (1)

Keywords

gaussian process (4) variational inference (2) automatic differentiation (1) sparse approximation (1) poisson process (1) nonparametric inference (1) thompson sampling (1) multi-output learning (1) bayesian regret (1) feature allocation (1) probabilistic model (1) additive model (1) mixture of expert (1) functional decomposition (1) stationary covariance (1) spectral mixture kernel (1) kernel methods (1) continuum-armed bandit (1) adaptive sensor placement (1) uncertainty quantification (1)

Papers

Additive Gaussian Processes Revisited ICML 2022 The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain AISTATS 2021 Enriched mixtures of generalised Gaussian process experts AISTATS 2020 Adaptive Sensor Placement for Continuous Spaces ICML 2019 GPflow: A Gaussian Process Library using TensorFlow JMLR 2017