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Daniel McKenzie

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Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms

Jul 07, 2023
Nicolás García Trillos, Anna Little, Daniel McKenzie, James M. Murphy

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It begins with a boundary: A geometric view on probabilistically robust learning

May 30, 2023
Leon Bungert, Nicolás García Trillos, Matt Jacobs, Daniel McKenzie, Đorđe Nikolić, Qingsong Wang

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Faster Predict-and-Optimize with Three-Operator Splitting

Jan 31, 2023
Daniel McKenzie, Samy Wu Fung, Howard Heaton

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Curvature-Aware Derivative-Free Optimization

Sep 27, 2021
Bumsu Kim, HanQin Cai, Daniel McKenzie, Wotao Yin

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Learn to Predict Equilibria via Fixed Point Networks

Jun 02, 2021
Howard Heaton, Daniel McKenzie, Qiuwei Li, Samy Wu Fung, Stanley Osher, Wotao Yin

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Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop

Mar 23, 2021
Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley Osher, Wotao Yin

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A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization

Feb 21, 2021
HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin

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Balancing Geometry and Density: Path Distances on High-Dimensional Data

Dec 17, 2020
Anna Little, Daniel McKenzie, James Murphy

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