Artem Artemev - RankMe

21 papers A* 3A 2Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees. J. Mach. Learn. Res. Alexander Terenin, David R. Burt, Artem Artemev, Seth R. Flaxman, Mark van der Wilk, Carl Edward Rasmussen, Hong Ge
2024	J	`jnl`	Recommendations for Baselines and Benchmarking Approximate Gaussian Processes. CoRR Sebastian W. Ober, Artem Artemev, Marcel Wagenländer, Rudolfs Grobins, Mark van der Wilk
2023	J	`jnl`	Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow. CoRR Victor Picheny, Joel Berkeley, Henry B. Moss, Hrvoje Stojic, Uri Granta, Sebastian W. Ober, Artem Artemev, Khurram Ghani, Alexander Goodall, Andrei Paleyes, Sattar Vakili, Sergio Pascual-Diaz, Stratis Markou, Jixiang Qing, Nasrulloh R. B. S. Loka, Ivo Couckuyt
2022	J	`jnl`	Memory Safe Computations with XLA Compiler. CoRR Artem Artemev, Tilman Roeder, Mark van der Wilk
2022	A*	`conf`	Memory safe computations with XLA compiler. NeurIPS Artem Artemev, Yuze An, Tilman Roeder, Mark van der Wilk
2022	J	`jnl`	Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees. CoRR Alexander Terenin, David R. Burt, Artem Artemev, Seth R. Flaxman, Mark van der Wilk, Carl Edward Rasmussen, Hong Ge
2021	J	`jnl`	Barely Biased Learning for Gaussian Process Regression. CoRR David R. Burt, Artem Artemev, Mark van der Wilk
2021	J	`jnl`	GPflux: A Library for Deep Gaussian Processes. CoRR Vincent Dutordoir, Hugh Salimbeni, Eric Hambro, John McLeod, Felix Leibfried, Artem Artemev, Mark van der Wilk, James Hensman, Marc Peter Deisenroth, S. T. John
2021	A*	`conf`	Scalable Thompson Sampling using Sparse Gaussian Process Models. NeurIPS Sattar Vakili, Henry B. Moss, Artem Artemev, Vincent Dutordoir, Victor Picheny
2021	A*	`conf`	Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients. ICML Artem Artemev, David R. Burt, Mark van der Wilk
2021	J	`jnl`	Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients. CoRR Artem Artemev, David R. Burt, Mark van der Wilk
2020	J	`jnl`	A Framework for Interdomain and Multioutput Gaussian Processes. CoRR Mark van der Wilk, Vincent Dutordoir, S. T. John, Artem Artemev, Vincent Adam, James Hensman
2020	—	`conf`	Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation. ECML/PKDD (3) Victor Picheny, Vincent Dutordoir, Artem Artemev, Nicolas Durrande
2020	J	`jnl`	Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation. CoRR Victor Picheny, Vincent Dutordoir, Artem Artemev, Nicolas Durrande
2020	A	`conf`	Bayesian Image Classification with Deep Convolutional Gaussian Processes. AISTATS Vincent Dutordoir, Mark van der Wilk, Artem Artemev, James Hensman
2020	A	`conf`	Doubly Sparse Variational Gaussian Processes. AISTATS Vincent Adam, Stefanos Eleftheriadis, Artem Artemev, Nicolas Durrande, James Hensman
2020	J	`jnl`	Doubly Sparse Variational Gaussian Processes. CoRR Vincent Adam, Stefanos Eleftheriadis, Nicolas Durrande, Artem Artemev, James Hensman
2020	J	`jnl`	Scalable Thompson Sampling using Sparse Gaussian Process Models. CoRR Sattar Vakili, Henry B. Moss, Victor Picheny, Vincent Dutordoir, Artem Artemev
2019	J	`jnl`	Ordinal Bayesian Optimisation. CoRR Victor Picheny, Sattar Vakili, Artem Artemev
2019	J	`jnl`	Translation Insensitivity for Deep Convolutional Gaussian Processes. CoRR Vincent Dutordoir, Mark van der Wilk, Artem Artemev, Marcin Tomczak, James Hensman
2019	—	`conf`	Variational Gaussian Process Models without Matrix Inverses. AABI Mark van der Wilk, S. T. John, Artem Artemev, James Hensman