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Posts by Collection
portfolio
Portfolio item number 2
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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.
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.
The Optimal Smoothings of Sublinear Functions and Convex Cones
Published in ArXiv Preprint, 2025
This paper provides smooth, convex functions (or sets) of fixed curvature that minimize the distance to the original function (or set).
An Elementary Proof of the Near Optimality of LogSumExp Smoothing
Published in ArXiv Preprint, 2025
The paper proves a sharp limitation on smoothing the max-of-coordinates function in \(d\) dimensions. Any convex surrogate with the desired smoothness must incur a worst-case error that grows like \(\log d\), so the standard LogSumExp smoothing is essentially optimal up to constants. This result is proved using elementary inequalities about smooth, convex functions. The paper also proves that in small dimensions (\(d = 2, 3\)) LogSumExp fails to be optimal.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
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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