Howard Heaton
Howard Heaton
Typal Academy
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Learning to Optimize: A Primer and a Benchmark
T Chen, X Chen, W Chen, H Heaton, J Liu, Z Wang, W Yin
Journal of Machine Learning Research 23 (189), 1-59, 2022
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
Feasibility-based fixed point networks
H Heaton, SW Fung, A Gibali, W Yin
Fixed Point Theory and Algorithms for Sciences and Engineering 2021 (1), 2021
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
Learning a Minimax Optimizer: A Pilot Study
J Shen, X Chen, H Heaton, T Chen, J Liu, W Yin, Z Wang
International Conference on Learning Representations (ICLR), 2021
Wasserstein-based Projections with Applications to Inverse Problems
H Heaton, SW Fung, AT Lin, S Osher, W Yin
SIAM Journal on Mathematics of Data Science, 2022
Safeguarded Learned Convex Optimization
H Heaton, X Chen, Z Wang, W Yin
Proceedings of the AAAI Conference on Artificial Intelligence, 2023
Derivative-free superiorization with component-wise perturbations
Y Censor, H Heaton, R Schulte
Numerical algorithms 80, 1219-1240, 2019
Asynchronous sequential inertial iterations for common fixed points problems with an application to linear systems
H Heaton, Y Censor
Journal of Global Optimization 74, 95-119, 2019
Explainable AI via Learning to Optimize
H Heaton, SW Fung
Scientific Reports 13 (1), 10103, 2023
A Hamilton–Jacobi-based Proximal Operator
S Osher, H Heaton, S Wu Fung
Proceedings of the National Academy of Sciences 120 (14), e2220469120, 2023
Global Solutions to Nonconvex Problems by Evolution of Hamilton-Jacobi PDEs
H Heaton, SW Fung, S Osher
Communications on Applied Mathematics and Computation, 2022
Faster Predict-and-Optimize with Davis-Yin Splitting
D McKenzie, SW Fung, H Heaton
arXiv preprint arXiv:2301.13395, 2023
Learning to Optimize with Guarantees
H Heaton
UCLA, 2021
Implementation of blob basis functions in proton CT reconstruction
H Heaton, C Ordonez, Y Censor, R Schulte
Joint Math. Meetings (JMM) MAA AMS, 2016
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