Limiting behavior of relative Rényi entropy in a non-regular location shift family
Relative Rényi entropy, α-divergence, Information geometry, Non-regular location shift family,
Masahito Hayashi
core +1 more source
Density Functional Theory and Information-Theoretic Diagnostics of Quantum Phase Transitions. [PDF]
Romera E, Nagy Á.
europepmc +1 more source
Step-Wise Dual Dynamic DPSGD: Enhancing Performance on Imbalanced Medical Datasets with Differential Privacy. [PDF]
Huang X, Xie F.
europepmc +1 more source
The Rényi Smoothing Parameter and Its Applications in Lattice-Based Cryptography [PDF]
The smoothing parameter is a cornerstone concept in lattice-based cryptography. Traditionally defined using the \( L^{\infty} \) distance, this standard formulation can be overly stringent compared to the \( L^1 \) (or statistical) distance more commonly
Cong Ling, Laura Luzzi, Hao Yan
core
From Expected Goals to Scoring at Least Once: An Event-Specific Summary of Aggregated Bernoulli Risk. [PDF]
Górecki T.
europepmc +1 more source
Information Complexity of Time-Frequency Distributions of Signals in Detection and Classification Problems. [PDF]
Lysenko P +3 more
europepmc +1 more source
SENTINEL-Chain: a blockchain-integrated privacy-preserving framework for secure healthcare data publishing. [PDF]
Segar N, Vijayan V.
europepmc +1 more source
Bounds on the Excess Minimum Risk via Generalized Information Divergence Measures. [PDF]
Omanwar A, Alajaji F, Linder T.
europepmc +1 more source
$α$-leakage by Rényi Divergence and Sibson Mutual Information
For $\tilde{f}(t) = \exp(\frac{α-1}αt)$, this paper proposes a $\tilde{f}$-mean information gain measure. Rényi divergence is shown to be the maximum $\tilde{f}$-mean information gain incurred at each elementary event $y$ of channel output $Y$ and Sibson
Sadeghi, Parastoo +2 more
core

