Howard Heaton

5 papers · 2021–2025 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

AAAI (2) JMLR (2) ICLR (1)

Top co-authors

Wotao Yin (4) Xiaohan Chen (3) Zhangyang Wang (3) Samy Wu Fung (2) Stanley Osher (2) Tianlong Chen (2) Jialin Liu (2) Jiayi Shen (1) Ryan J. Tibshirani (1) Wuyang Chen (1)

Research topics

Machine Learning (5) Optimization & Theory · Machine Learning (4) Mathematics & Optimization (2) Optimization (2) Artificial Intelligence (1) Deep Learning (1) Application Areas (1) Architectures (1) Core AI (1) Mathematics (1) Optimization & Theory · Deep Learning (1)

Keywords

neural network optimization (2) learning to optimize (2) convergence guarantee (2) convex optimization (2) proximal algorithm (1) memory efficiency (1) learned optimization (1) moreau envelope (1) optimization method (1) fixed-point equation (1) infimal convolution (1) laplace method (1) hamilton-jacobi equation (1) neural network optimizer (1) implicit network (1) memory-efficient training (1) jacobian-free backpropagation (1) curriculum learning (1) minimax optimization (1) continuous optimization (1)

Papers

Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method JMLR 2025 Safeguarded Learned Convex Optimization AAAI 2023 JFB: Jacobian-Free Backpropagation for Implicit Networks AAAI 2022 Learning to Optimize: A Primer and A Benchmark JMLR 2022 Learning A Minimax Optimizer: A Pilot Study ICLR 2021