Daniel McKenzie

According to our database, Daniel McKenzie authored at least 19 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Nicolás García Trillos, Anna V. Little, Daniel McKenzie, James M. Murphy

J. Mach. Learn. Res., 2024

On Logical Extrapolation for Mazes with Recurrent and Implicit Networks.

Brandon Knutson, Amandin Chyba Rabeendran, Michael I. Ivanitskiy, Jordan Pettyjohn, Cecilia G. Diniz Behn, Samy Wu Fung, Daniel McKenzie

CoRR, 2024

Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data.

Antony Sikorski, Daniel McKenzie, Douglas Nychka

CoRR, 2024

2023

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

Leon Bungert, Nicolás García Trillos, Matt Jacobs, Daniel McKenzie, Dorde Nikolic, Qingsong Wang

CoRR, 2023

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

Daniel McKenzie, Samy Wu Fung, Howard Heaton

CoRR, 2023

2022

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

Anna V. Little, Daniel McKenzie, James M. Murphy

SIAM J. Math. Data Sci., 2022

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

HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang

SIAM J. Optim., 2022

JFB: Jacobian-Free Backpropagation for Implicit Networks.

Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin

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

2021

Curvature-Aware Derivative-Free Optimization.

Bum-Su Kim, HanQin Cai, Daniel McKenzie, Wotao Yin

CoRR, 2021

Learn to Predict Equilibria via Fixed Point Networks.

Howard Heaton, Daniel McKenzie, Qiuwei Li, Samy Wu Fung, Stanley J. Osher, Wotao Yin

CoRR, 2021

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

Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin

CoRR, 2021

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

HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin

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

2020

Compressive Sensing for Cut Improvement and Local Clustering.

Ming-Jun Lai, Daniel McKenzie

SIAM J. Math. Data Sci., 2020

SCOBO: Sparsity-Aware Comparison Oracle Based Optimization.

HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang

CoRR, 2020

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

Mariam Alaverdian, William Gilroy, Veronica Kirgios, Xia Li, Carolina Matuk, Daniel McKenzie, 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.

Daniel McKenzie, Steven Damelin

CoRR, 2019

2018

Semi-Supervised Cluster Extraction via a Compressive Sensing Approach.

Ming-Jun Lai, Daniel McKenzie

CoRR, 2018

2017

A Compressive Sensing Approach to Community Detection with Applications.

Ming-Jun Lai, Daniel McKenzie

CoRR, 2017

2009

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

Saturnino Luz, Masood Masoodian, Daniel McKenzie, Wim Vanden Broeck

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