Thabo Samakhoana

Thabo Samakhoana

PhD Candidate in Applied Mathematics and Statistics

Publications

You can also find my articles on my Google Scholar profile.

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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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).