activity
20172023
most citedRobust Large-Margin Learning in Hyperbolic Space

7 citations · 9 across the 5 of their papers we have counts for

collaborators

7 papers

math.DG2023

Continuum Limits of Ollivier's Ricci Curvature on data clouds: pointwise consistency and global lower bounds

Nicolas Garcia Trillos, Melanie Weber

Let denote a low-dimensional manifold embedded in Euclidean space and let be a collection of points uniformly sampled from it. We study the relatio…

math.OC2022★ 1 cited

Computing Brascamp-Lieb Constants through the lens of Thompson Geometry

Melanie Weber, Suvrit Sra

This paper studies algorithms for efficiently computing Brascamp-Lieb constants, a task that has recently received much interest. In particular, we reduce the computation to a nonl…

math.OC2022

On a class of geodesically convex optimization problems solved via Euclidean MM methods

Melanie Weber, Suvrit Sra

We study geodesically convex (g-convex) problems that can be written as a difference of Euclidean convex functions. This structure arises in several optimization problems in statis…

math.OC2021

Controlling Unknown Linear Dynamics with Bounded Multiplicative Regret

Jacob Carruth, Maximilian F. Eggl, Charles Fefferman +2

We consider a simple control problem in which the underlying dynamics depend on a parameter that is unknown and must be learned. We exhibit a control strategy which is optimal to w…

cs.LG2020★ 7 cited

Robust Large-Margin Learning in Hyperbolic Space

Melanie Weber, Manzil Zaheer, Ankit Singh Rawat +2

Recently, there has been a surge of interest in representation learning in hyperbolic spaces, driven by their ability to represent hierarchical data with significantly fewer dimens…

math.OC2020

Optimal control with learning on the fly: a toy problem

Charles L. Fefferman, Bernat Guillen Pegueroles, Clarence W. Rowley +1

We exhibit optimal control strategies for a simple toy problem in which the underlying dynamics depend on a parameter that is initially unknown and must be learned. We consider a c…

math.OC2017★ 1 cited

Riemannian Optimization via Frank-Wolfe Methods

Melanie Weber, Suvrit Sra

We study projection-free methods for constrained Riemannian optimization. In particular, we propose the Riemannian Frank-Wolfe (RFW) method. We analyze non-asymptotic convergence r…