Bayesian Nonparametric Kernel-Learning

Bayesian Nonparametric Kernel-Learning

29 June 2015

Junier Oliva

Kumar Avinava Dubey

Barnabás Póczós

Papers citing "Bayesian Nonparametric Kernel-Learning"

9 / 9 papers shown

Title
Preventing Model Collapse in Gaussian Process Latent Variable Models Ying Li Zhidi Lin Feng Yin Michael Minyi Zhang VLM 35 1 0 02 Apr 2024
Sparse Infinite Random Feature Latent Variable Modeling M. Zhang 14 1 0 20 May 2022
Modelling Non-Smooth Signals with Complex Spectral Structure W. Bruinsma Martin Tegnér Richard Turner 30 6 0 14 Mar 2022
Gaussian Processes with Skewed Laplace Spectral Mixture Kernels for Long-term Forecasting Kai Chen Twan van Laarhoven E. Marchiori AI4TS 39 8 0 08 Nov 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 44 172 0 23 Apr 2020
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions Toni Karvonen George Wynne Filip Tronarp Chris J. Oates Simo Särkkä 34 39 0 29 Jan 2020
ORCCA: Optimal Randomized Canonical Correlation Analysis Yinsong Wang Shahin Shahrampour 11 5 0 11 Oct 2019
Differentiable Compositional Kernel Learning for Gaussian Processes Shengyang Sun Guodong Zhang Chaoqi Wang Wenyuan Zeng Jiaman Li Roger C. Grosse BDL 23 69 0 12 Jun 2018
Sketching for Large-Scale Learning of Mixture Models Nicolas Keriven Anthony Bourrier Rémi Gribonval Patrick Pérez 37 75 0 09 Jun 2016