Search for tag: "fall 2020 maddd"

Samir Chowdhury: Gromov-Wasserstein Learning in a Riemannian Framework

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Guido Montufar: Optimal Transport to Independence Models

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Wolfgang Polonik: Multiscale Geometric Feature Extraction

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Zhi Ding: Deep Learning: Not a Simple Hammer for Massive MIMO Wireless Communication Systems

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Patrick Flaherty: MAP Clustering under the Gaussian Mixture Model via Mixed Integer Programming

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Cynthia Rudin: The Extremes of Interpretability: Sparse Decision Trees and Scoring Systems

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Chao Wang: From telescope to computed tomography via sparse recovery approaches

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Abhishek Roy: Escapting Saddle-Points Faster under Interpolation

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Stefan Schonsheck: Coherence and Manifold Structures in Data (09/29/20)

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