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publications
On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms
Published in Journal of Machine Learning Research, 2020
This paper presents interesting theoretical properties of a Bayesian approach to semi-supervised learning on graphs.
Recommended citation: Nicolas Garcia Trillos, Zachary Kaplan, Thabo Samakhoana, Daniel Sanz-Alonso. (2020). "On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms." Journal of Machine Learning Research. 21(28).
Scalable Projection-Free Optimization Methods via MultiRadial Duality Theory
Published in ArXiv Preprint, 2024
This paper presents the multiradial method for solving constrained convex optimization problems. This method assumes minimal structure on the objective function and does not rely on projections to the feasible region.
Recommended citation: Thabo Samakhoana, Benjamin Grimmer. (2024). "Scalable Projection-Free Optimization Methods via MultiRadial Duality Theory." ArXiv .
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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