Daniel McKenzie

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 20

Top Topics

Compressive Sensing

Operator Splitting

Community Detection

Top Venues

SIAM J. Math. Data Sci.

Publications

Antony Sikorski, Daniel McKenzie, Douglas Nychka
Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data. CoRR (2024)
Nicolás García Trillos, Anna Little, Daniel McKenzie, James M. Murphy
Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms. CoRR (2023)
Daniel McKenzie, Samy Wu Fung, Howard Heaton
Faster Predict-and-Optimize with Three-Operator Splitting. CoRR (2023)
Leon Bungert, Nicolás García Trillos, Matt Jacobs, Daniel McKenzie, Dorde Nikolic, Qingsong Wang
It begins with a boundary: A geometric view on probabilistically robust learning. CoRR (2023)
Anna Little, Daniel McKenzie, James M. Murphy
Balancing Geometry and Density: Path Distances on High-Dimensional Data. SIAM J. Math. Data Sci. 4 (1) (2022)
HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling. SIAM J. Optim. 32 (2) (2022)
Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin
JFB: Jacobian-Free Backpropagation for Implicit Networks. AAAI (2022)
HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization. CoRR (2021)
Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin
Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop. CoRR (2021)
HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization. ICML (2021)
Bum-Su Kim, HanQin Cai, Daniel McKenzie, Wotao Yin
Curvature-Aware Derivative-Free Optimization. CoRR (2021)
Howard Heaton, Daniel McKenzie, Qiuwei Li, Samy Wu Fung, Stanley J. Osher, Wotao Yin
Learn to Predict Equilibria via Fixed Point Networks. CoRR (2021)
Mariam Alaverdian, William Gilroy, Veronica Kirgios, Xia Li, Carolina Matuk, Daniel McKenzie, Tachin Ruangkriengsin, Andrea L. Bertozzi, P. Jeffrey Brantingham
Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction. CoRR (2020)
HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling. CoRR (2020)
Mariam Alaverdian, William Gilroy, Veronica Kirgios, Xia Li, Carolina Matuk, Daniel McKenzie, Tachin Ruangkriengsin, Andrea L. Bertozzi, P. Jeffrey Brantingham
Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction. IEEE BigData (2020)
HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang
SCOBO: Sparsity-Aware Comparison Oracle Based Optimization. CoRR (2020)
Anna Little, Daniel McKenzie, James Murphy
Balancing Geometry and Density: Path Distances on High-Dimensional Data. CoRR (2020)
Ming-Jun Lai, Daniel McKenzie
Compressive Sensing for Cut Improvement and Local Clustering. SIAM J. Math. Data Sci. 2 (2) (2020)
Ming-Jun Lai, Daniel McKenzie
Semi-Supervised Cluster Extraction via a Compressive Sensing Approach. CoRR (2018)
Ming-Jun Lai, Daniel McKenzie
A Compressive Sensing Approach to Community Detection with Applications. CoRR (2017)
Saturnino Luz, Masood Masoodian, Daniel McKenzie, Wim Vanden Broeck
Chronos: A Tool for Interactive Scheduling and Visualisation of Task Hierarchies. IV (2009)