Vincent ADAM

5 papers · 2019–2024 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird

Venues

AISTATS (4) NeurIPS (1)

Top co-authors

Arno Solin (3) Stefanos Eleftheriadis (2) Nicolas Durrande (2) James Hensman (2) William Wilkinson (1) Lucas Bordeaux (1) Mohammad Emtiyaz Khan (1) Prakhar Verma (1) Paul Chang (1) Artem Artemev (1)

Research topics

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

Keywords

variational inference (5) gaussian process (4) hyperparameter learning (1) automatic differentiation (1) natural gradient (1) time series (1) diffusion process (1) kalman filter (1) expectation propagation (1) sparse approximation (1) exponential family (1) precision matrix (1) natural gradient descent (1) approximate bayesian inference (1) gaussian markov random field (1) state space model (1) stochastic differential equation (1) inducing point (1) banded matrix (1) linear state-space model (1)

Papers

Variational Gaussian Process Diffusion Processes AISTATS 2024 Dual Parameterization of Sparse Variational Gaussian Processes NeurIPS 2021 Sparse Algorithms for Markovian Gaussian Processes AISTATS 2021 Doubly Sparse Variational Gaussian Processes AISTATS 2020 Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era AISTATS 2019