Publications associées à Differential Entropy of the Conditional Expectation under Gaussian Noise

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An extension of the stochastic sewing lemma and applications to fractional stochastic calculus

Toyomu Matsuda

We give an extension of Le's stochastic sewing lemma. The stochastic sewing lemma proves convergence in

L_m

of Riemann type sums

\sum _{[s,t] \in \pi } A_{s,t}

for an adapted two-parameter stochastic process A, under certain conditions on the moments o ...

Cambridge Univ Press2024

Differential Entropy of the Conditional Expectation under Gaussian Noise

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Spectral Estimators for High-Dimensional Matrix Inference

An extension of the stochastic sewing lemma and applications to fractional stochastic calculus

Differential Entropy of the Conditional Expectation Under Additive Gaussian Noise

Propagation of singularities for the stochastic wave equation

Shannon Bounds on Lossy Gray-Wyner Networks

Deep Boltzmann Machines: Rigorous Results at Arbitrary Depth

Remote Source Coding Under Gaussian Noise: Dueling Roles of Power and Entropy Power

Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems

Dimension-free Information Concentration via Exp-Concavity

Performance assessment of pressurized fluid-distribution networks

Spectral Estimators for High-Dimensional Matrix Inference

An extension of the stochastic sewing lemma and applications to fractional stochastic calculus

Propagation of singularities for the stochastic wave equation

Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems

Dimension-free Information Concentration via Exp-Concavity

Shannon Bounds on Lossy Gray-Wyner Networks

Differential Entropy of the Conditional Expectation Under Additive Gaussian Noise

Deep Boltzmann Machines: Rigorous Results at Arbitrary Depth

Remote Source Coding Under Gaussian Noise: Dueling Roles of Power and Entropy Power

Performance assessment of pressurized fluid-distribution networks