Results 31 to 40 of about 6,455,829 (284)
The Variational Predictive Natural Gradient
CoRR, 2019 Variational inference transforms posterior inference into parametric optimization thereby enabling the use of latent variable models where otherwise impractical. However, variational inference can be finicky when different variational parameters control variables that are strongly correlated under the model.
Da Tang, Rajesh Ranganath
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Natural Gradient Optimization for Optical Quantum Circuits [PDF]
, 2021 Optical quantum circuits can be optimized using gradient descent methods, as the gates in a circuit can be parametrized by continuous parameters. However, the parameter space as seen by the cost function is not Euclidean, which means that the Euclidean ...
Cussenot, Pierre +7 more
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Gradient Regularized Natural Gradients
CoRRGradient regularization (GR) has been shown to improve the generalizability of trained models. While Natural Gradient Descent has been shown to accelerate optimization in the initial phase of training, little attention has been paid to how the training dynamics of second-order optimizers can benefit from GR.
Dash, Satya Prakash; id_orcid 0009-0000-4822-823X +4 more
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Predictive coding, precision and natural gradients
CoRR, 2021 There is an increasing convergence between biologically plausible computational models of inference and learning with local update rules and the global gradient-based optimization of neural network models employed in machine learning. One particularly exciting connection is the correspondence between the locally informed optimization in predictive ...
André Ofner +3 more
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Energies, 2020 In order to improve the recovery efficiency of natural gas hydrate in solid-state fluidized mining of natural gas hydrate, we solve drilling safety problems, such as narrow density of natural gas hydrate formation pressure window and poor wellbore ...
Yang Tang +4 more
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Actor-critic algorithm with incremental dual natural policy gradient
Tongxin xuebao, 2017 The existed algorithms for continuous action space failed to consider the way of selecting optimal action and utilizing the knowledge of the action space,so an efficient actor-critic algorithm was proposed by improving the natural gradient.The objective ...
Peng ZHANG +4 more
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Coastal microbial mat diversity along a natural salinity gradient. [PDF]
PLoS ONE, 2013 The North Sea coast of the Dutch barrier island of Schiermonnikoog is covered by microbial mats that initiate a succession of plant communities that eventually results in the development of a densely vegetated salt marsh.
Henk Bolhuis +2 more
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Global Ecology and Conservation, 2023 Land-use change is a major cause of biodiversity loss. Particularly, the expansion of the agricultural frontier results from an increased resource demand by the human population.
Esteban F. Soto +4 more
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A Natural Gradient Algorithm for Stochastic Distribution Systems
Entropy, 2014 In this paper, we propose a steepest descent algorithm based on the natural gradient to design the controller of an open-loop stochastic distribution control system (SDCS) of multi-input and single output with a stochastic noise.
Zhenning Zhang +3 more
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Riemannian Natural Gradient Methods
SIAM Journal on Scientific ComputingAbstract. This paper studies large-scale optimization problems on Riemannian manifolds whose objective function is a finite sum of negative log-probability losses. Such problems arise in various machine learning and signal processing applications.
Jiang Hu +4 more
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