Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation

von Picheny, Victor
Veröffentlicht in ECML/PKDD (2020 : Online) Machine learning and knowledge discovery in databases ; Part 3 (2021)

TIGHTER BOUNDS ON THE LOG MARGINAL LIKELIHOOD OF GAUSSIAN PROCESS REGRESSION USING CONJUGATE GRADIENTS

von ARTEMEV, ARTEM
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 1 of 16 (2022)

Memory safe computations with XLA compiler

von Artemev, Artem
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 25 of 50 (2023)

Scalable Thompson Sampling using Sparse Gaussian Process Models

von Vakili, Sattar
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 7 of 36 (2022)