This article studies an asymptotic framework for conducting inference on parameters of the form ϕ(θ₀), where ϕ is a known directionally differentiable function and θ₀ is estimated by θ̂n. In these ...
Heun functions, which generalise the well‐known hypergeometric functions, are solutions to the Heun differential equation – a second‐order linear differential equation with four regular singular ...
Harmonic functions, defined as twice continuously differentiable functions satisfying Laplace’s equation, have long been a subject of intense study in both pure and applied mathematics. Their ...
Quasiconvex functions play an important role in several branches of applied mathematics (e.g. mathematical programming, minimax theory, games theory, etc.) and of economic analysis (production theory, ...
Abstract: Distribution shifts, which often occur in the real world, degrade the accuracy of deep learning systems, and thus improving robustness to distribution shifts is essential for practical ...
@article{enomoto2024dyntta, title={Dynamic Test-Time Augmentation via Differentiable Functions}, author={Enomoto, Shohei and Busto, Monikka Roslianna and Eda ...
This is the official repository for the paper "Unsupervised Harmonic Parameter Estimation Using Differentiable DSP and Spectral Optimal Transport.", by Bernardo Torres, Geoffroy Peeters, and Gaël ...
The author establishes a property of supply for a competitive firm: Assuming differentiability of the production frontier, linearly independent price vectors have disjoint image sets under the supply ...
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