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   Articles with "stochastic variational" as a keyword



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Deregulated electricity market, a stochastic variational approach

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recommendations! Published in 2021 at "Energy Economics"

DOI: 10.1016/j.eneco.2021.105493

Abstract: Abstract This paper focuses on the study of an electricity market model, which evolves in T+1 stages, so that, at each stage, a continuum state of nature is possible. The decision-making framework of large consumers… read more here.

Keywords: electricity market; deregulated electricity; stochastic variational; market stochastic ... See more keywords
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Confidence regions of stochastic variational inequalities: error bound approach

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recommendations! Published in 2020 at "Optimization"

DOI: 10.1080/02331934.2020.1857755

Abstract: In this paper, we aim to build confidence regions of the true solution to the stochastic variational inequalities problem (SVIP) when the sample average approximation (SAA) scheme is implemented. A... read more here.

Keywords: inequalities error; stochastic variational; variational inequalities; regions stochastic ... See more keywords
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Stochastic Variational Inference for Bayesian Phylogenetics: A Case of CAT Model

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recommendations! Published in 2019 at "Molecular Biology and Evolution"

DOI: 10.1093/molbev/msz020

Abstract: Abstract The pattern of molecular evolution varies among gene sites and genes in a genome. By taking into account the complex heterogeneity of evolutionary processes among sites in a genome, Bayesian infinite mixture models of… read more here.

Keywords: inference; inference bayesian; stochastic variational; variational inference ... See more keywords
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Fully-Probabilistic Terrain Modelling and Localization With Stochastic Variational Gaussian Process Maps

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3182807

Abstract: Gaussian processes (GPs) are becoming a standard tool to build terrain representations thanks to their capacity to model map uncertainty. This effectively yields a reliability measure of the areas of the map, which can be… read more here.

Keywords: localization; fully probabilistic; probabilistic terrain; terrain ... See more keywords
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Online Stochastic Variational Gaussian Process Mapping for Large-Scale Bathymetric SLAM in Real Time

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recommendations! Published in 2023 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2023.3264750

Abstract: Rao-Blackwellized particle filter (RBPF) SLAM solutions with Gaussian Process (GP) maps can both maintain multiple hypotheses of a vehicle pose estimate and perform implicit data association for loop closure detection in continuous terrain representations. Both… read more here.

Keywords: time; slam; stochastic variational; real time ... See more keywords

Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization

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recommendations! Published in 2022 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2022.3164852

Abstract: Quantum machine learning has emerged as a potential practical application of near-term quantum devices. In this work, we study a two-layer hybrid classical-quantum classifier in which a first layer of quantum stochastic neurons implementing generalized… read more here.

Keywords: classical quantum; hybrid classical; stochastic variational; variational optimization ... See more keywords