Results 31 to 40 of about 2,518,110 (330)
High-Dimensional Analysis of f-divergence Distributionally Regularized M-estimation [PDF]
, 2022 openIn recent years Distributionally Robust Optimization (DRO) has raised to the status of one of the most used tools for robust estimation. This because it shares some nice properties such as good out-of-sample performances and well-understood ...
CESCON, RICCARDO
core
Applied Sciences, 2023 The inertial Navigation Systems/global navigation satellite system (SINS/GNSS) has become a research hotspot in the field of train positioning. However, during a uniform straight-line motion period, the heading misalignment angle of the SINS/GNSS is ...
Wei Chen, Gongliu Yang, Yongqiang Tu
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On the complexity of estimating Rènyi divergences [PDF]
2017 IEEE International Symposium on Information Theory (ISIT), 2017 This paper studies the complexity of estimating Renyi divergences of discrete distributions: $p$ observed from samples and the baseline distribution $q$ known \emph{a priori}. Extending the results of Acharya et al. (SODA'15) on estimating Renyi entropy, we present improved estimation techniques together with upper and lower bounds on the sample ...
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Divergence-Free Motion Estimation [PDF]
, 2012 This paper describes an innovative approach to estimate motion from image observations of divergence-free flows. Unlike most state-of-the-art methods, which only minimize the divergence of the motion field, our approach utilizes the vorticity-velocity formalism in order to construct a motion field in the subspace of divergence free functions.
Herlin, Isabelle +3 more
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Minimax Optimal Estimation of KL Divergence for Continuous Distributions [PDF]
IEEE Transactions on Information Theory, 2020 Estimating Kullback-Leibler divergence from identical and independently distributed samples is an important problem in various domains. One simple and effective estimator is based on the $k$ nearest neighbor distances between these samples.
Puning Zhao, L. Lai
semanticscholar +1 more source
Frontiers in Genetics, 2015 Uncertainty in divergence time estimation is rarely studied from the perspective of phylogenetic node age. If available models fail to completely account for rate heterogeneity, substitution saturation and incompleteness of the fossil record, uncertainty
Marcel eVan Tuinen +4 more
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Minimax quantum state estimation under Bregman divergence [PDF]
Quantum, 2019 We investigate minimax estimators for quantum state tomography under general Bregman divergences. First, generalizing the work of Koyama et al. [Entropy 19, 618 (2017)] for relative entropy, we find that given any estimator for a quantum state, there ...
Maria Quadeer +2 more
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Minimum Kφ-divergence estimator
Applied Mathematics Letters, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Teresa Pérez, Julio Angel Pardo
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Fiber Density Estimation by Tensor Divergence [PDF]
, 2012 Diffusion-sensitized magnetic resonance imaging provides information about the fibrous structure of the human brain. However, this information is not sufficient to reconstruct the underlying fiber network, because the nature of diffusion provides only conditional fiber densities.
Reisert, Marco +2 more
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Divergence Estimation in Message Passing algorithms
CoRR, 2021 This work has been submitted to the IEEE for possible ...
Nikolajs Skuratovs, Michael Davies 0001
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