Results 11 to 20 of about 1,626 (283)
Bayesianism and inference to the best explanation [PDF]
Theoria, 2008 Bayesianism and Inference to the best explanation (IBE) are two different models of inference. Recently there has been some debate about the possibility of “bayesianizing” IBE.
Valeriano IRANZO
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Reverse Bayesianism and act independence [PDF]
, 2022 Karni and Vierø (2013) propose a model of belief revision under growing awareness-reverse Bayesianism-which posits that as a person becomes aware of new acts, consequences , or act-consequence links, she revises her beliefs over an expanded state space ...
Chakravarty, Surajeet +5 more
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Machine Learning: Science and Technology, 2023 Abstract In this note we present a fully information theoretic approach to renormalization inspired by Bayesian statistical inference, which we refer to as Bayesian renormalization. The main insight of Bayesian renormalization is that the Fisher metric defines a correlation length that plays the role of an emergent renormalization group (
David S. Berman +2 more
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How Bayesian should Bayesian optimisation be? [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021 Bayesian optimisation (BO) uses probabilistic surrogate models - usually Gaussian processes (GPs) - for the optimisation of expensive black-box functions. At each BO iteration, the GP hyperparameters are fit to previously-evaluated data by maximising the marginal likelihood.
George De Ath +2 more
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Theoretical Computer Science, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Noga Alon +3 more
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Bayesian Approach to Linear Bayesian Networks
CoRR, 2023 This study proposes the first Bayesian approach for learning high-dimensional linear Bayesian networks. The proposed approach iteratively estimates each element of the topological ordering from backward and its parent using the inverse of a partial covariance matrix.
Seyong Hwang +3 more
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The measurement problem in Quantum Mechanics: Convivial Solipsism [PDF]
EPJ Web of Conferences, 2020 The problem of measurement is often considered an inconsistency inside the quantum formalism. Many attempts to solve (or to dissolve) it have been made since the inception of quantum mechanics.
Zwirn Hervé
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The Bayesian lens and Bayesian blinkers
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2023 I discuss the benefits of looking through the ‘Bayesian lens’ (seeking a Bayesian interpretation of ostensibly non-Bayesian methods), and the dangers of wearing ‘Bayesian blinkers’ (eschewing non-Bayesian methods as a matter of philosophical principle).
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Statistical foundations of ecological rationality
Economics: Journal Articles, 2020 If we reassess the rationality question under the assumption that the uncertainty of the natural world is largely unquantifiable, where do we end up? In this article the author argues that we arrive at a statistical, normative, and cognitive theory of ...
Brighton Henry
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