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ORCIDHoward Heaton
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2020 – today
- 2023
[c3]Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin:
Safeguarded Learned Convex Optimization. AAAI 2023: 7848-7855- [i8]Daniel McKenzie, Samy Wu Fung, Howard Heaton:
Faster Predict-and-Optimize with Three-Operator Splitting. CoRR abs/2301.13395 (2023) - 2022
- [j4]Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin:
Learning to Optimize: A Primer and A Benchmark. J. Mach. Learn. Res. 23: 189:1-189:59 (2022) - [j3]Howard Heaton, Samy Wu Fung
, Alex Tong Lin, Stanley J. Osher, Wotao Yin:
Wasserstein-Based Projections with Applications to Inverse Problems. SIAM J. Math. Data Sci. 4(2): 581-603 (2022) - [c2]Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin:
JFB: Jacobian-Free Backpropagation for Implicit Networks. AAAI 2022: 6648-6656 - [i7]Howard Heaton, Samy Wu Fung:
Explainable AI via Learning to Optimize. CoRR abs/2204.14174 (2022) - 2021
- [b1]Howard Heaton:
Learning to Optimize with Guarantees. University of California, Los Angeles, USA, 2021 - [c1]Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang:
Learning A Minimax Optimizer: A Pilot Study. ICLR 2021 - [i6]Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin:
Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop. CoRR abs/2103.12803 (2021) - [i5]Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin:
Learning to Optimize: A Primer and A Benchmark. CoRR abs/2103.12828 (2021) - [i4]Howard Heaton, Samy Wu Fung, Aviv Gibali, Wotao Yin:
Feasibility-based Fixed Point Networks. CoRR abs/2104.14090 (2021) - [i3]Howard Heaton, Daniel McKenzie, Qiuwei Li, Samy Wu Fung, Stanley J. Osher, Wotao Yin:
Learn to Predict Equilibria via Fixed Point Networks. CoRR abs/2106.00906 (2021) - 2020
- [i2]Howard Heaton, Xiaohan Chen, Zhangyang Wang, Wotao Yin:
Safeguarded Learned Convex Optimization. CoRR abs/2003.01880 (2020) - [i1]Howard Heaton, Samy Wu Fung, Alex Tong Lin, Stanley J. Osher, Wotao Yin:
Projecting to Manifolds via Unsupervised Learning. CoRR abs/2008.02200 (2020)
2010 – 2019
- 2019
- [j2]Howard Heaton, Yair Censor:
Asynchronous sequential inertial iterations for common fixed points problems with an application to linear systems. J. Glob. Optim. 74(1): 95-119 (2019) - [j1]Yair Censor, Howard Heaton, Reinhard W. Schulte:
Derivative-free superiorization with component-wise perturbations. Numer. Algorithms 80(4): 1219-1240 (2019)
Coauthor Index
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