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


Jun 22, 2022
Suvrit Sra, Melanie Weber

* Under Review 

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Identifying biases in legal data: An algorithmic fairness perspective


Sep 21, 2021
Jackson Sargent, Melanie Weber

* EEAMO 2021 

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Robust Large-Margin Learning in Hyperbolic Space


Apr 11, 2020
Melanie Weber, Manzil Zaheer, Ankit Singh Rawat, Aditya Menon, Sanjiv Kumar

* Under Review 

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Neighborhood Growth Determines Geometric Priors for Relational Representation Learning


Oct 12, 2019
Melanie Weber


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Nonconvex stochastic optimization on manifolds via Riemannian Frank-Wolfe methods


Oct 09, 2019
Melanie Weber, Suvrit Sra


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The Oracle of DLphi


Jan 27, 2019
Dominik Alfke, Weston Baines, Jan Blechschmidt, Mauricio J. del Razo Sarmina, Amnon Drory, Dennis Elbrächter, Nando Farchmin, Matteo Gambara, Silke Glas, Philipp Grohs, Peter Hinz, Danijel Kivaranovic, Christian Kümmerle, Gitta Kutyniok, Sebastian Lunz, Jan Macdonald, Ryan Malthaner, Gregory Naisat, Ariel Neufeld, Philipp Christian Petersen, Rafael Reisenhofer, Jun-Da Sheng, Laura Thesing, Philipp Trunschke, Johannes von Lindheim, David Weber, Melanie Weber


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Heuristic Framework for Multi-Scale Testing of the Multi-Manifold Hypothesis


Jul 01, 2018
F. Patricia Medina, Linda Ness, Melanie Weber, Karamatou Yacoubou Djima

* Workshop paper (Women in Data Science and Mathematics Research Collaboration Workshop (WiSDM); ICERM, July 2017) 

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Riemannian Frank-Wolfe with application to the geometric mean of positive definite matrices


May 09, 2018
Melanie Weber, Suvrit Sra

* Under review; 21 pages, 2 figures 

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