Howard Heaton - RankMe

19 papers A* 3Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method. J. Mach. Learn. Res. Ryan J. Tibshirani, Samy Wu Fung, Howard Heaton, Stanley J. Osher
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`	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	A*	`conf`	Safeguarded Learned Convex Optimization. AAAI Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin
2022	J	`jnl`	Explainable AI via Learning to Optimize. CoRR Howard Heaton, Samy Wu Fung
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`	Learning to Optimize: A Primer and A Benchmark. J. Mach. Learn. Res. Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin
2022	J	`jnl`	Wasserstein-Based Projections with Applications to Inverse Problems. SIAM J. Math. Data Sci. Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin
2021	J	`jnl`	Feasibility-based Fixed Point Networks. CoRR Howard Heaton, Samy Wu Fung, Aviv Gibali, 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
2021	A*	`conf`	Learning A Minimax Optimizer: A Pilot Study. ICLR Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang
2021	—	`—`	Learning to Optimize with Guarantees. Howard Heaton
2021	J	`jnl`	Learning to Optimize: A Primer and A Benchmark. CoRR Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin
2020	J	`jnl`	Projecting to Manifolds via Unsupervised Learning. CoRR Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin
2020	J	`jnl`	Safeguarded Learned Convex Optimization. CoRR Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin
2019	J	`jnl`	Asynchronous sequential inertial iterations for common fixed points problems with an application to linear systems. J. Glob. Optim. Howard Heaton, Yair Censor
2019	J	`jnl`	Derivative-free superiorization with component-wise perturbations. Numer. Algorithms Yair Censor, Howard Heaton, Reinhard W. Schulte