Publications related to Fisher information

Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons

Julien René Pierre Fageot, Sadegh Farhadkhani, Oscar Jean Olivier Villemaud, Le Nguyen Hoang

Many applications, e.g. in content recommendation, sports, or recruitment, leverage the comparisons of alternatives to score those alternatives. The classical Bradley-Terry model and its variants have been widely used to do so. The historical model conside ...

AAAI Press2024

A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set

Daniel Kuhn, Yves Rychener, Viet Anh Nguyen

The state-of-the-art methods for estimating high-dimensional covariance matrices all shrink the eigenvalues of the sample covariance matrix towards a data-insensitive shrinkage target. The underlying shrinkage transformation is either chosen heuristically ...

2024

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

Nikita Durasov, Minh Hieu Lê, Nik Joel Dorndorf

Whereas the ability of deep networks to produce useful predictions on many kinds of data has been amply demonstrated, estimating the reliability of these predictions remains challenging. Sampling approaches such as MC-Dropout and Deep Ensembles have emerge ...

2024

Euclid preparation: XXVIII. Forecasts for ten different higher-order weak lensing statistics

Frédéric Courbin, Gianluca Castignani, Jean-Luc Starck, Austin Chandler Peel, Maurizio Martinelli, Yi Wang, Richard Massey, Fabio Finelli, Marcello Farina

Recent cosmic shear studies have shown that higher-order statistics (HOS) developed by independent teams now outperform standard two-point estimators in terms of statistical precision thanks to their sensitivity to the non-Gaussian features of large-scale ...

EDP SCIENCES S A2023

Learning Linearized Degradation of Health Indicators using Deep Koopman Operator Approach

Olga Fink, Sergei Garmaev

With the current trend of increasing complexity of industrial systems, the construction and monitoring of health indicators becomes even more challenging. Given that health indicators are commonly employed to predict the end of life, a crucial criterion fo ...

Research Publishing2023

Momentum-Based Policy Gradient with Second-Order Information

Patrick Thiran, Negar Kiyavash, Mohammadsadegh Khorasani, Saber Salehkaleybar

Variance-reduced gradient estimators for policy gradient methods have been one of the main focus of research in the reinforcement learning in recent years as they allow acceleration of the estimation process. We propose a variance-reduced policy-gradient m ...

2022

Differential Entropy of the Conditional Expectation Under Additive Gaussian Noise

Michael Christoph Gastpar, Alper Köse, Ahmet Arda Atalik

The conditional mean is a fundamental and important quantity whose applications include the theories of estimation and rate-distortion. It is also notoriously difficult to work with. This paper establishes novel bounds on the differential entropy of the co ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Random Surface Covariance Estimation by Shifted Partial Tracing

Victor Panaretos, Tomas Masák

The problem of covariance estimation for replicated surface-valued processes is examined from the functional data analysis perspective. Considerations of statistical and computational efficiency often compel the use of separability of the covariance, even ...

TAYLOR & FRANCIS INC2022

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Fisher information

On the use of Cramér-Rao Lower Bound for least-variance circuit parameters identification of Li-ion cells

Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons

A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

Euclid preparation: XXVIII. Forecasts for ten different higher-order weak lensing statistics

Learning Linearized Degradation of Health Indicators using Deep Koopman Operator Approach

Momentum-Based Policy Gradient with Second-Order Information

Filtered data and eigenfunction estimators for statistical inference of multiscale and interacting diffusion processes

Differential Entropy of the Conditional Expectation Under Additive Gaussian Noise

Random Surface Covariance Estimation by Shifted Partial Tracing

Graph Chatbot

Chat with Graph Search

Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons

A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set

On the use of Cramér-Rao Lower Bound for least-variance circuit parameters identification of Li-ion cells

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

Random Surface Covariance Estimation by Shifted Partial Tracing

Differential Entropy of the Conditional Expectation Under Additive Gaussian Noise

Momentum-Based Policy Gradient with Second-Order Information

Learning Linearized Degradation of Health Indicators using Deep Koopman Operator Approach

Euclid preparation: XXVIII. Forecasts for ten different higher-order weak lensing statistics

Filtered data and eigenfunction estimators for statistical inference of multiscale and interacting diffusion processes