On the construction of probabilistic Newton-type algorithms

5 April 2017

Papers citing "On the construction of probabilistic Newton-type algorithms"

7 / 7 papers shown

Title
Hierarchical Inducing Point Gaussian Process for Inter-domain Observations Luhuan Wu Andrew C. Miller Lauren Anderson Geoff Pleiss David M. Blei John P. Cunningham 70 9 0 28 Feb 2021
High-Dimensional Gaussian Process Inference with Derivatives Filip de Roos A. Gessner Philipp Hennig GP 66 17 0 15 Feb 2021
Empirical study towards understanding line search approximations for training neural networks Younghwan Chae D. Wilke 105 11 0 15 Sep 2019
Deep kernel learning for integral measurements Carl Jidling J. Hendriks Thomas B. Schon A. Wills 62 7 0 04 Sep 2019
Stochastic quasi-Newton with line-search regularization A. Wills Thomas B. Schon ODL 68 21 0 03 Sep 2019
Evaluating the squared-exponential covariance function in Gaussian processes with integral observations J. Hendriks Carl Jidling A. Wills Thomas B. Schon 71 9 0 18 Dec 2018
Learning nonlinear state-space models using smooth particle-filter-based likelihood approximations Andreas Svensson Fredrik Lindsten Thomas B. Schon 50 7 0 29 Nov 2017