Artemev, Artem

10 publications

NeurIPSW 2024 Comparing Implicit and Denoising Score-Matching Objectives Artem Artemev, Ayan Das, Farhang Nabiei, Alberto Bernacchia

JMLR 2024 Numerically Stable Sparse Gaussian Processes via Minimum Separation Using Cover Trees Alexander Terenin, David R. Burt, Artem Artemev, Seth Flaxman, Mark van der Wilk, Carl Edward Rasmussen, Hong Ge

NeurIPSW 2024 Trieste: Efficiently Exploring the Depths of Black-Box Functions with TensorFlow Henry Moss, Victor Picheny, Hrvoje Stojic, Sebastian W. Ober, Artem Artemev, Andrei Paleyes, Sattar Vakili, Stratis Markou, Jixiang Qing, Nasrulloh Ratu Bagus Satrio Loka, Ivo Couckuyt

NeurIPS 2022 Memory Safe Computations with XLA Compiler Artem Artemev, Yuze An, Tilman Roeder, Mark van der Wilk

NeurIPSW 2021 Barely Biased Learning for Gaussian Process Regression David R. Burt, Artem Artemev, Mark van der Wilk

NeurIPS 2021 Scalable Thompson Sampling Using Sparse Gaussian Process Models Sattar Vakili, Henry Moss, Artem Artemev, Vincent Dutordoir, Victor Picheny

ICML 2021 Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients Artem Artemev, David R. Burt, Mark Wilk

ECML-PKDD 2020 Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation Victor Picheny, Vincent Dutordoir, Artem Artemev, Nicolas Durrande

AISTATS 2020 Bayesian Image Classification with Deep Convolutional Gaussian Processes Vincent Dutordoir, Mark Wilk, Artem Artemev, James Hensman

AISTATS 2020 Doubly Sparse Variational Gaussian Processes Vincent Adam, Stefanos Eleftheriadis, Artem Artemev, Nicolas Durrande, James Hensman