Results 11 to 20 of about 527,249 (162)
Compatible natural gradient policy search [PDF]
Machine Learning, 2019 Trust-region methods have yielded state-of-the-art results in policy search. A common approach is to use KL-divergence to bound the region of trust resulting in a natural gradient policy update. We show that the natural gradient and trust region optimization are equivalent if we use the natural parameterization of a standard exponential policy ...
Joni Pajarinen +4 more
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Natural gradient matrix momentum [PDF]
9th International Conference on Artificial Neural Networks: ICANN '99, 1999 Natural gradient learning is an efficient and principled method for improving on-line learning. In practical applications there will be an increased cost required in estimating and inverting the Fisher information matrix. We propose to use the matrix momentum algorithm in order to carry out efficient inversion and study the efficacy of a single step ...
SCARPETTA, Silvia +2 more
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On Performance and Calibration of Natural Gradient Langevin Dynamics
IEEE Access, 2023 Producing deep neural network (DNN) models with calibrated confidence is essential for applications in many fields, such as medical image analysis, natural language processing, and robotics.
Hanif Amal Robbani +3 more
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Sparse Channel Estimation for Interference Limited OFDM Systems and Its Convergence Analysis
IEEE Access, 2017 Wireless communication channels are highly prone to interference in addition to the presence of additive white Gaussian noise (AWGN). Stochastic gradient (SG)-based non-parametric maximum likelihood (NPML) estimator, gives better channel estimates in the
Abhijeet Bishnu, Vimal Bhatia
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Adaptive Natural Gradient Method for Learning of Stochastic Neural Networks in Mini-Batch Mode
Applied Sciences, 2019 Gradient descent method is an essential algorithm for learning of neural networks. Among diverse variations of gradient descent method that have been developed for accelerating learning speed, the natural gradient learning is based on the theory of ...
Hyeyoung Park, Kwanyong Lee
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Ecological Indicators, 2021 The functional response of natural patches to surrounding land-use changes is strongly related to variations in functional traits of coexisting species.
Erika Bazzato +3 more
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Research progress in biomimetic gradient scaffolds for osteochondral tissue engineering
Cailiao gongcheng, 2022 Osteochondral defects are the main cause of joint morbidity and disability in elderly patients, and osteochondral tissue engineering is one of the methods to repair osteochondral defects.
WAN Li +5 more
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Functional biodiversity loss along natural CO2 gradients [PDF]
Nature Communications, 2018 AbstractThe effects of environmental change on biodiversity are still poorly understood. In particular, the consequences of shifts in species composition for marine ecosystem function are largely unknown. Here we assess the loss of functional diversity, i.e.
Nuria Teixidó +6 more
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On the Fisher Metric of Conditional Probability Polytopes
Entropy, 2014 We consider three different approaches to define natural Riemannian metrics on polytopes of stochastic matrices. First, we define a natural class of stochastic maps between these polytopes and give a metric characterization of Chentsov type in terms of ...
Guido Montúfar, Johannes Rauh, Nihat Ay
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Entropy, 2017 Information geometry enables a deeper understanding of the methods of statistical inference. In this paper, the problem of nonlinear parameter estimation is considered from a geometric viewpoint using a natural gradient descent on statistical manifolds ...
Yongqiang Cheng, Xuezhi Wang, Bill Moran
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