Results 41 to 50 of about 7,533,665 (302)
Nonperturbative negative geometries: amplitudes at strong coupling and the amplituhedron
Journal of High Energy Physics, 2022 The amplituhedron determines scattering amplitudes in planar N $$ \mathcal{N} $$ = 4 super Yang-Mills by a single “positive geometry” in the space of kinematic and loop variables.
Nima Arkani-Hamed +2 more
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On Relativistic $f$-Divergences
CoRR, 2019 This paper provides a more rigorous look at Relativistic Generative Adversarial Networks (RGANs). We prove that the objective function of the discriminator is a statistical divergence for any concave function $f$ with minimal properties ($f(0)=0$, $f'(0) \neq 0$, $\sup_x f(x)>0$).
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About the sharpness of the Jensen inequality
Journal of Inequalities and Applications, 2018 The main aim of this paper is to give an improvement of the recent result on the sharpness of the Jensen inequality. The results given here are obtained using different Green functions and considering the case of the real Stieltjes measure, not ...
Ðilda Pečarić +2 more
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f-Divergence constrained policy improvement [PDF]
CoRR, 2017 To ensure stability of learning, state-of-the-art generalized policy iteration algorithms augment the policy improvement step with a trust region constraint bounding the information loss. The size of the trust region is commonly determined by the Kullback-Leibler (KL) divergence, which not only captures the notion of distance well but also yields ...
Belousov, Boris, Peters, Jan
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Limit distribution theory for $f$-Divergences
, 2023 $f$-divergences, which quantify discrepancy between probability distributions, are ubiquitous in information theory, machine learning, and statistics. While there are numerous methods for estimating $f$-divergences from data, a limit distribution theory,
Kato, Kengo +2 more
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu +8 more
wiley +1 more source
Taxonomy and biogeography of the Nearctic Raphia Hübner (Lepidoptera, Noctuidae, Raphiinae)
ZooKeys, 2014 The taxonomic status and biogeography of the North American Raphia species is reviewed using adult morphology, larval host plants, geographic phenotypic variation, and variation of mtDNA COI barcode sequences. Lack of diagnostic morphological differences,
Christian Schmidt, Gary Anweiler
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Multivariate f-Divergence Estimation With Confidence
CoRR, 2014 The problem of f-divergence estimation is important in the fields of machine learning, information theory, and statistics. While several nonparametric divergence estimators exist, relatively few have known convergence properties. In particular, even for those estimators whose MSE convergence rates are known, the asymptotic distributions are unknown. We
Kevin R. Moon, Alfred O. Hero III
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On surrogate loss functions and f-divergences
The Annals of Statistics, 2009 The goal of binary classification is to estimate a discriminant function $γ$ from observations of covariate vectors and corresponding binary labels. We consider an elaboration of this problem in which the covariates are not available directly but are transformed by a dimensionality-reducing quantizer $Q$.
Nguyen, XuanLong +2 more
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