Gaussian Processes and Kernel Methods: A Review on Connections and
Equivalences

Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences

6 July 2018

Motonobu Kanagawa

Dino Sejdinovic

Bharath K. Sriperumbudur

Papers citing "Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences"

12 / 62 papers shown

Title
On Information Gain and Regret Bounds in Gaussian Process Bandits Sattar Vakili Kia Khezeli Victor Picheny GP 23 126 0 15 Sep 2020
Deterministic error bounds for kernel-based learning techniques under bounded noise E. Maddalena Paul Scharnhorst Colin N. Jones 17 45 0 10 Aug 2020
Sparse Gaussian Processes with Spherical Harmonic Features Vincent Dutordoir N. Durrande J. Hensman 19 54 0 30 Jun 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning Sebastian Curi Felix Berkenkamp Andreas Krause 27 82 0 15 Jun 2020
Scalable Thompson Sampling using Sparse Gaussian Process Models Sattar Vakili Henry B. Moss A. Artemev Vincent Dutordoir Victor Picheny 13 34 0 09 Jun 2020
Universal Robust Regression via Maximum Mean Discrepancy Pierre Alquier Mathieu Gerber 38 15 0 01 Jun 2020
Bayesian ODE Solvers: The Maximum A Posteriori Estimate Filip Tronarp Simo Sarkka Philipp Hennig 43 42 0 01 Apr 2020
Information Directed Sampling for Linear Partial Monitoring Johannes Kirschner Tor Lattimore Andreas Krause 11 46 0 25 Feb 2020
On the optimality of kernels for high-dimensional clustering L. C. Vankadara D. Ghoshdastidar 26 11 0 01 Dec 2019
Uncertainty Estimates for Ordinal Embeddings Michael Lohaus Philipp Hennig U. V. Luxburg 30 6 0 27 Jun 2019
Spatial Analysis Made Easy with Linear Regression and Kernels Philip Milton E. Giorgi Samir Bhatt 24 16 0 22 Feb 2019
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 107 324 0 09 Feb 2016