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04/02/2023
On the Optimal Recovery of Graph Signals
Learning a smooth graph signal from partially observed data is a well-st...
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01/18/2023
Near-Optimal Estimation of Linear Functionals with Log-Concave Observation Errors
This note addresses the question of optimally estimating a linear functi...
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09/12/2022
The Sparsity of LASSO-type Minimizers
This note extends an attribute of the LASSO procedure to a whole class o...
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09/12/2022
Full Recovery from Point Values: an Optimal Algorithm for Chebyshev Approximability Prior
Given pointwise samples of an unknown function belonging to a certain mo...
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11/04/2021
Optimal Recovery from Inaccurate Data in Hilbert Spaces: Regularize, but what of the Parameter?
In Optimal Recovery, the task of learning a function from observational ...
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06/05/2020
Learning from Non-IID Data in Hilbert Spaces: An Optimal Recovery Perspective
The notion of generalization in classical Statistical Learning is often ...
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04/01/2020
Instances of Computational Optimal Recovery: Refined Approximability Models
Models based on approximation capabilities have recently been studied in...
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10/30/2019
Weighted matrix completion from non-random, non-uniform sampling patterns
We study the matrix completion problem when the observation pattern is d...
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01/19/2019