追蹤
Daniel Mckenzie
Daniel Mckenzie
Assistant Professor, Colorado School of Mines
在 mines.edu 的電子郵件地址已通過驗證 - 首頁
標題
引用次數
引用次數
年份
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
137*2022
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
472021
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
HQ Cai, D Mckenzie, W Yin, Z Zhang
SIAM Journal on Optimization, 2020
472020
Three-operator splitting for learning to predict equilibria in convex games
D McKenzie, H Heaton, Q Li, S Wu Fung, S Osher, W Yin
SIAM Journal on Mathematics of Data Science 6 (3), 627-648, 2024
32*2024
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
192022
Power weighted shortest paths for clustering Euclidean data
D Mckenzie, S Damelin
Foundations of Data Science 1 (3), 307, 2019
172019
A One-bit, Comparison-Based Gradient Estimator
HQ Cai, D Mckenzie, W Yin, Z Zhang
arXiv preprint arXiv:2010.02479, 2020
162020
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), 1898-1937, 2023
152023
Differentiating through integer linear programs with quadratic regularization and davis-yin splitting
D McKenzie, H Heaton, SW Fung
Transactions on Machine Learning Research, 2024
14*2024
Compressive sensing for cut improvement and local clustering
MJ Lai, D Mckenzie
SIAM Journal on Mathematics of Data Science 2 (2), 368-395, 2020
132020
Curvature-aware derivative-free optimization
B Kim, HQ Cai, D McKenzie, W Yin
arXiv preprint arXiv:2109.13391, 2021
112021
Fermat distances: Metric approximation, spectral convergence, and clustering algorithms
NG Trillos, A Little, D McKenzie, JM Murphy
Journal of Machine Learning Research 25 (176), 1-65, 2024
52024
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
52020
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
32023
Adapting zeroth order algorithms for comparison-based optimization
I Slavin, D McKenzie
arXiv preprint arXiv:2210.05824, 2022
32022
On logical extrapolation for mazes with recurrent and implicit networks
B Knutson, AC Rabeendran, M Ivanitskiy, J Pettyjohn, C Diniz-Behn, ...
arXiv preprint arXiv:2410.03020, 2024
22024
Learning to Optimize: Where Deep Learning Meets Optimization and Inverse Problems
W Yin, D McKenzie, SW Fung
SIAM News, 2022
22022
Optimal Sparse Markowitz Portfolios
D McKenzie
Available at: http, 2017
12017
Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients
GN Grapiglia, D McKenzie
arXiv preprint arXiv:2501.11616, 2025
2025
Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data
A Sikorski, D McKenzie, D Nychka
Stat 13 (4), e70015, 2024
2024
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