Convex optimization with an interpolation-based projection and its application to deep learning

DOI10.1007/s10994-021-06037-zOpenAlexW3185407613MaRDI QIDQ2071365

Riad Akrour, Jan Peters, Asma Atamna

Publication date: 28 January 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2011.07016

zbMATH Keywords

convex optimizationsupervised learningreinforcement learningdifferentiable projections

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

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Uses Software

• CVX
• COCO
• CVXPY
• OpenAI Gym
• Adam
• OptNet

Cites Work

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• A new polynomial-time algorithm for linear programming
• Conditional subgradient optimization -- theory and applications
• Coercing machine learning to output physically accurate results
• Compatible natural gradient policy search
• CVXPY: A Python-Embedded Modeling Language for Convex Optimization
• Approximate policy iteration: a survey and some new methods
• Graph Implementations for Nonsmooth Convex Programs
• The Gradient Projection Method for Nonlinear Programming. Part I. Linear Constraints
• Regularization Methods for Semidefinite Programming
• COCO: a platform for comparing continuous optimizers in a black-box setting

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