Heaton, Howard

6 publications

JMLR 2025 Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method Ryan J. Tibshirani, Samy Wu Fung, Howard Heaton, Stanley Osher

TMLR 2024 Differentiating Through Integer Linear Programs with Quadratic Regularization and Davis-Yin Splitting Daniel McKenzie, Howard Heaton, Samy Wu Fung

AAAI 2023 Safeguarded Learned Convex Optimization Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin

AAAI 2022 JFB: Jacobian-Free Backpropagation for Implicit Networks Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin

JMLR 2022 Learning to Optimize: A Primer and a Benchmark Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin

ICLR 2021 Learning a Minimax Optimizer: A Pilot Study Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang