Daniel Sanz-Alonso
3 papers · 2019–2022 · 1 conference · across top CS/AI conferences
Achievements
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🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(15)
🗺️
Taxonomy Completionist
(12)
Conferences
JMLR (3)
Keywords
graph-based learning
(2)
graph-based method
(2)
semi-supervised learning
(2)
bayesian inference
(1)
consistency analysis
(1)
point cloud
(1)
markov chain monte carlo
(1)
geometric structure
(1)
similarity function
(1)
spectral gap
(1)
posterior contraction
(1)
local regularization
(1)
manifold assumption
(1)
bayesian semi-supervised learning
(1)
bayesian nonparametrics
(1)
manifold learning
(1)
Papers
Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective
JMLR 2022
On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms
JMLR 2020
Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis
JMLR 2019