Daniel McKenzie

According to our database¹, Daniel McKenzie authored at least 17 papers between 2009 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2023

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

[BibT_eX]

[DOI]

Nicolás García Trillos

Anna Little

Daniel McKenzie

James M. Murphy

CoRR, 2023

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

[BibT_eX]

[DOI]

Leon Bungert

Nicolás García Trillos

CoRR, 2023

Faster Predict-and-Optimize with Three-Operator Splitting.

[BibT_eX]

[DOI]

Daniel McKenzie

Samy Wu Fung

Howard Heaton

CoRR, 2023

2022

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

[BibT_eX]

[DOI]

Anna Little

Daniel McKenzie

James M. Murphy

SIAM J. Math. Data Sci., 2022

Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling.

[BibT_eX]

[DOI]

SIAM J. Optim., 2022

JFB: Jacobian-Free Backpropagation for Implicit Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Curvature-Aware Derivative-Free Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Learn to Predict Equilibria via Fixed Point Networks.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Compressive Sensing for Cut Improvement and Local Clustering.

[BibT_eX]

[DOI]

Ming-Jun Lai

Daniel McKenzie

SIAM J. Math. Data Sci., 2020

SCOBO: Sparsity-Aware Comparison Oracle Based Optimization.

[BibT_eX]

[DOI]

CoRR, 2020

Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction.

[BibT_eX]

[DOI]

Tachin Ruangkriengsin

Andrea L. Bertozzi

P. Jeffrey Brantingham

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Power Weighted Shortest Paths for Unsupervised Learning.

[BibT_eX]

[DOI]

Daniel McKenzie

Steven Damelin

CoRR, 2019

2018

Semi-Supervised Cluster Extraction via a Compressive Sensing Approach.

[BibT_eX]

[DOI]

Ming-Jun Lai

Daniel McKenzie

CoRR, 2018

2017

A Compressive Sensing Approach to Community Detection with Applications.

[BibT_eX]

[DOI]

Ming-Jun Lai

Daniel McKenzie

CoRR, 2017

2009

Chronos: A Tool for Interactive Scheduling and Visualisation of Task Hierarchies.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Information Visualisation, 2009

Daniel McKenzie

Timeline

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