| 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 | 108* | 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 | 37 | 2021 |
| Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling HQ Cai, D Mckenzie, W Yin, Z Zhang SIAM Journal on Optimization, 2020 | 35 | 2020 |
| Operator Splitting for Learning to Predict Equilibria in Convex Games D McKenzie, H Heaton, Q Li, SW Fung, S Osher, W Yin arXiv preprint arXiv:2106.00906, 2021 | 25* | 2021 |
| 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 | 17 | 2022 |
| Power weighted shortest paths for clustering Euclidean data D Mckenzie, S Damelin Foundations of Data Science 1 (3), 307, 2019 | 17 | 2019 |
| A One-bit, Comparison-Based Gradient Estimator HQ Cai, D Mckenzie, W Yin, Z Zhang arXiv preprint arXiv:2010.02479, 2020 | 13 | 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 | 12 | 2020 |
| 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 | 10 | 2023 |
| Faster predict-and-optimize with three-operator splitting D McKenzie, SW Fung, H Heaton arXiv preprint arXiv:2301.13395, 2023 | 8* | 2023 |
| Curvature-aware derivative-free optimization B Kim, HQ Cai, D McKenzie, W Yin arXiv preprint arXiv:2109.13391, 2021 | 8 | 2021 |
| 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 | 4 | 2020 |
| Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms NG Trillos, A Little, D McKenzie, JM Murphy arXiv preprint arXiv:2307.05750, 2023 | 3 | 2023 |
| 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 | 3 | 2023 |
| Adapting zeroth order algorithms for comparison-based optimization I Slavin, D McKenzie arXiv preprint arXiv:2210.05824, 2022 | 2 | 2022 |
| Optimal Sparse Markowitz Portfolios D McKenzie Available at: http, 2017 | 1 | 2017 |
| 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 | | 2024 |
| Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data A Sikorski, D McKenzie, D Nychka arXiv preprint arXiv:2405.13821, 2024 | | 2024 |
| 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 | | 2024 |
| Efficient graph clustering algorithms using compressive sensing D McKenzie University of Georgia, 2019 | | 2019 |
Wotao YinDAMO Academy, Alibaba Group USVerified email at alibaba-inc.com
