Tobar, Felipe

10 publications

TMLR 2025 Diffusion Self-Weighted Guidance for Offline Reinforcement Learning Augusto Tagle, Javier Ruiz-del-solar, Felipe Tobar

JMLR 2024 Studying the Interplay Between Information Loss and Operation Loss in Representations for Classification Jorge F. Silva, Felipe Tobar, Mario Vicuña, Felipe Cordova

TMLR 2023 Computationally-Efficient Initialisation of GPs: The Generalised Variogram Method Felipe Tobar, Elsa Cazelles, Taco de Wolff

AISTATS 2022 Nonstationary Multi-Output Gaussian Processes via Harmonizable Spectral Mixtures Matias Altamirano, Felipe Tobar

AISTATS 2022 On the Interplay Between Information Loss and Operation Loss in Representations for Classification Jorge Silva, Felipe Tobar

NeurIPS 2021 A Novel Notion of Barycenter for Probability Distributions Based on Optimal Weak Mass Transport Elsa Cazelles, Felipe Tobar, Joaquin Fontbona

NeurIPS 2019 Band-Limited Gaussian Processes: The Sinc Kernel Felipe Tobar

NeurIPS 2018 Bayesian Nonparametric Spectral Estimation Felipe Tobar

NeurIPS 2017 Spectral Mixture Kernels for Multi-Output Gaussian Processes Gabriel Parra, Felipe Tobar

NeurIPS 2015 Learning Stationary Time Series Using Gaussian Processes with Nonparametric Kernels Felipe Tobar, Thang D Bui, Richard E Turner