Daniel Mckenzie
Daniel Mckenzie
Assistant Professor, Colorado School of Mines
Verified email at - Homepage
Cited by
Cited by
JFB: Jacobian-Free Backpropagation for Implicit Networks
SW Fung, H Heaton, Q Li, D McKenzie, S Osher, W Yin
Proceedings of the AAAI Conference on Artificial Intelligence, 2022
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
HQ Cai, D Mckenzie, W Yin, Z Zhang
SIAM Journal on Optimization, 2020
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization
HQ Cai, Y Lou, D McKenzie, W Yin
Proceedings of the 38th International Conference on Machine Learning 139, 2021
Learn to predict equilibria via fixed point networks
H Heaton, D McKenzie, Q Li, SW Fung, S Osher, W Yin
arXiv preprint arXiv:2106.00906 3, 2021
Power weighted shortest paths for clustering Euclidean data
D Mckenzie, S Damelin
Foundations of Data Science 1 (3), 307, 2019
Balancing geometry and density: Path distances on high-dimensional data
A Little, D McKenzie, JM Murphy
SIAM Journal on Mathematics of Data Science 4 (1), 72-99, 2022
A One-bit, Comparison-Based Gradient Estimator
HQ Cai, D Mckenzie, W Yin, Z Zhang
arXiv preprint arXiv:2010.02479, 2020
Compressive sensing for cut improvement and local clustering
MJ Lai, D Mckenzie
SIAM Journal on Mathematics of Data Science 2 (2), 368-395, 2020
Curvature-aware derivative-free optimization
B Kim, HQ Cai, D McKenzie, W Yin
arXiv preprint arXiv:2109.13391, 2021
From the simplex to the sphere: faster constrained optimization using the Hadamard parametrization
Q Li, D McKenzie, W Yin
Information and Inference: A Journal of the IMA 12 (3), iaad017, 2023
Faster predict-and-optimize with three-operator splitting
D McKenzie, SW Fung, H Heaton
arXiv preprint arXiv:2301.13395, 2023
Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction
M Alaverdian, W Gilroy, V Kirgios, X Li, C Matuk, D McKenzie, ...
2020 IEEE International Conference on Big Data (Big Data), 2508-2512, 2020
Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms
NG Trillos, A Little, D McKenzie, JM Murphy
arXiv preprint arXiv:2307.05750, 2023
Adapting zeroth order algorithms for comparison-based optimization
I Slavin, D McKenzie
arXiv preprint arXiv:2210.05824, 2022
Optimal Sparse Markowitz Portfolios
D McKenzie
Available at: http, 2017
It begins with a boundary: A geometric view on probabilistically robust learning
L Bungert, NG Trillos, M Jacobs, D McKenzie, Đ Nikolić, Q Wang
arXiv preprint arXiv:2305.18779, 2023
Operator Splitting for Learning to Predict Equilibria in Convex Games
D McKenzie, H Heaton, Q Li, SW Fung, S Osher, W Yin
arXiv e-prints, arXiv: 2106.00906, 2021
Efficient graph clustering algorithms using compressive sensing
D McKenzie
University of Georgia, 2019
On the neighborliness of dual flow polytopes of quivers
P Gallardo, D Mckenzie
arXiv preprint arXiv:1811.01993, 2018
A Compressive Sensing Approach to Cluster Extraction
MJ Lai, D Mckenzie
arXiv preprint arXiv:1808.05780, 2018
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