Felipe Tobar
8 papers · 2015–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(2)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(6)
Optimization & Theory
(6)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Bayesian & Probabilistic · Machine Learning
(3)
Mathematics
(3)
Data Science & Analytics
(2)
Methods
(2)
Optimization
(1)
Probability
(1)
Keywords
gaussian process
(5)
kernel methods
(3)
information theory
(2)
spectral density
(2)
power spectral density
(2)
bayesian inference
(2)
representation learning
(2)
multi-output learning
(2)
mutual information
(1)
time series
(1)
feature extraction
(1)
signal reconstruction
(1)
posterior distribution
(1)
probability distribution
(1)
variational inference
(1)
probability of error
(1)
spectral analysis
(1)
signal processing
(1)
bayesian regression
(1)
multi-output regression
(1)
Papers
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification
JMLR 2024
Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures
AISTATS 2022
On the Interplay between Information Loss and Operation Loss in Representations for Classification
AISTATS 2022
A novel notion of barycenter for probability distributions based on optimal weak mass transport
NeurIPS 2021
Band-Limited Gaussian Processes: The Sinc Kernel
NeurIPS 2019
Bayesian Nonparametric Spectral Estimation
NeurIPS 2018
Spectral Mixture Kernels for Multi-Output Gaussian Processes
NeurIPS 2017
Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels
NeurIPS 2015