Daniel McKenzie

30 papers A* 3C 1Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients. J. Optim. Theory Appl. Geovani Nunes Grapiglia, Daniel McKenzie
2026	A*	`conf`	On Logical Extrapolation for Mazes with Recurrent and Implicit Networks. AAAI Brandon Knutson, Amandin Chyba Rabeendran, Michael I. Ivanitskiy, Jordan Pettyjohn, Cecilia G. Diniz Behn, Samy Wu Fung, Daniel McKenzie
2025	J	`jnl`	Curvature-Aware Derivative-Free Optimization. J. Sci. Comput. Bumsu Kim, Daniel McKenzie, HanQin Cai, Wotao Yin
2025	J	`jnl`	LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data. CoRR Antony Sikorski, Michael I. Ivanitskiy, Nathan Lenssen, Douglas Nychka, Daniel McKenzie
2024	J	`jnl`	Differentiating Through Integer Linear Programs with Quadratic Regularization and Davis-Yin Splitting. Trans. Mach. Learn. Res. Daniel McKenzie, Howard Heaton, Samy Wu Fung
2024	J	`jnl`	Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms. J. Mach. Learn. Res. Nicolás García Trillos, Anna V. Little, Daniel McKenzie, James M. Murphy
2024	J	`jnl`	Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data. CoRR Antony Sikorski, Daniel McKenzie, Douglas Nychka
2024	J	`jnl`	On Logical Extrapolation for Mazes with Recurrent and Implicit Networks. CoRR Brandon Knutson, Amandin Chyba Rabeendran, Michael I. Ivanitskiy, Jordan Pettyjohn, Cecilia G. Diniz Behn, Samy Wu Fung, Daniel McKenzie
2024	J	`jnl`	Three-Operator Splitting for Learning to Predict Equilibria in Convex Games. SIAM J. Math. Data Sci. Daniel McKenzie, Howard Heaton, Qiuwei Li, Samy Wu Fung, Stanley J. Osher, Wotao Yin
2023	J	`jnl`	Faster Predict-and-Optimize with Three-Operator Splitting. CoRR Daniel McKenzie, Samy Wu Fung, Howard Heaton
2023	J	`jnl`	Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms. CoRR Nicolás García Trillos, Anna V. Little, Daniel McKenzie, James M. Murphy
2023	J	`jnl`	It begins with a boundary: A geometric view on probabilistically robust learning. CoRR Leon Bungert, Nicolás García Trillos, Matt Jacobs, Daniel McKenzie, Dorde Nikolic, Qingsong Wang
2022	J	`jnl`	Balancing Geometry and Density: Path Distances on High-Dimensional Data. SIAM J. Math. Data Sci. Anna V. Little, Daniel McKenzie, James M. Murphy
2022	A*	`conf`	JFB: Jacobian-Free Backpropagation for Implicit Networks. AAAI Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin
2022	J	`jnl`	Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling. SIAM J. Optim. HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang
2021	A*	`conf`	A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization. ICML HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin
2021	J	`jnl`	A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization. CoRR HanQin Cai, Yuchen Lou, Daniel McKenzie, Wotao Yin
2021	J	`jnl`	Curvature-Aware Derivative-Free Optimization. CoRR Bum-Su Kim, HanQin Cai, Daniel McKenzie, Wotao Yin
2021	J	`jnl`	Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop. CoRR Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin
2021	J	`jnl`	Learn to Predict Equilibria via Fixed Point Networks. CoRR Howard Heaton, Daniel McKenzie, Qiuwei Li, Samy Wu Fung, Stanley J. Osher, Wotao Yin
2020	J	`jnl`	Balancing Geometry and Density: Path Distances on High-Dimensional Data. CoRR Anna V. Little, Daniel McKenzie, James M. Murphy
2020	J	`jnl`	Compressive Sensing for Cut Improvement and Local Clustering. SIAM J. Math. Data Sci. Ming-Jun Lai, Daniel McKenzie
2020	J	`jnl`	SCOBO: Sparsity-Aware Comparison Oracle Based Optimization. CoRR HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang
2020	—	`conf`	Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction. IEEE BigData Mariam Alaverdian, William Gilroy, Veronica Kirgios, Xia Li, Carolina Matuk, Daniel McKenzie, Tachin Ruangkriengsin, Andrea L. Bertozzi, P. Jeffrey Brantingham
2020	J	`jnl`	Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction. CoRR Mariam Alaverdian, William Gilroy, Veronica Kirgios, Xia Li, Carolina Matuk, Daniel McKenzie, Tachin Ruangkriengsin, Andrea L. Bertozzi, P. Jeffrey Brantingham
2020	J	`jnl`	Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling. CoRR HanQin Cai, Daniel McKenzie, Wotao Yin, Zhenliang Zhang
2019	J	`jnl`	Power Weighted Shortest Paths for Unsupervised Learning. CoRR Daniel McKenzie, Steven Damelin
2018	J	`jnl`	Semi-Supervised Cluster Extraction via a Compressive Sensing Approach. CoRR Ming-Jun Lai, Daniel McKenzie
2017	J	`jnl`	A Compressive Sensing Approach to Community Detection with Applications. CoRR Ming-Jun Lai, Daniel McKenzie
2009	C	`conf`	Chronos: A Tool for Interactive Scheduling and Visualisation of Task Hierarchies. IV Saturnino Luz, Masood Masoodian, Daniel McKenzie, Wim Vanden Broeck