Calculation of average coding efficiency based on subjective quality scores

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We derive confidence intervals (CIs) and confidence sequences (CSs) for the classical problem of estimating a bounded mean. Our approach generalizes and improves on the celebrated Chernoff method, yielding the best closed-form "empirical-Bernstein" CSs and ...

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Background Universal access to basic sanitation remains a global challenge, particularly in low- and middle-income countries. Efforts are underway to improve access to sanitation in informal settlements, often through shared facilities. However, access to ...

Leukocyte count is associated with coronary artery disease (CAD) events in the general population. Here we show that leukocytes are independently associated with CAD events in people with HIV in Switzerland, after adjusting for traditional and HIVrelated r ...

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There has been a recent surge of interest in the study of asymptotic reconstruction performance in various cases of generalized linear estimation problems in the teacher-student setting, especially for the case of i.i.d standard normal matrices. Here, we g ...

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Calculation of average coding efficiency based on subjective quality scores

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Anthony C Davison and Igor Rodionov's contribution to the Discussion of 'Estimating means of bounded random variables by betting' by Waudby-Smith and Ramdas

Fair real-time control of energy storage systems in active distribution networks in the presence of uncertainties

Random matrix methods for high-dimensional machine learning models

Spectral Estimators for High-Dimensional Matrix Inference

On Speed and Advantage : Results in Information Velocity and Monitoring Problems

Graph generative deep learning models with an application to circuit topologies

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Leukocyte Count and Coronary Artery Disease Events in People With Human Immunodeficiency Virus: A Longitudinal Study

An Unbiased Method of Measuring the Ratio of Two Data Sets

Towards a multiscale point cloud structural similarity metric

Maximum likelihood bolometry for ASDEX upgrade experiments

Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems

Bed Topography Inference from Velocity Field Using Deep Learning

JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range

On the Privacy-Robustness-Utility Trilemma in Distributed Learning

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Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (Or: How to Prove Kabashima’s Replica Formula)

Preconditioners for robust optimal control problems under uncertainty

Feature-based no-reference video quality assessment using Extra Trees