
Three rates of convergence or separation via Ustatistics in a dependent framework
Despite the ubiquity of Ustatistics in modern Probability and Statistic...
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Minimax Estimation of PartiallyObserved Vector AutoRegressions
To understand the behavior of large dynamical systems like transportatio...
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Forecasting Nonnegative Time Series via Sliding Mask Method (SMM) and Latent Clustered Forecast (LCF)
We consider nonnegative time series forecasting framework. Based on rece...
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Concentration inequality for Ustatistics of order two for uniformly ergodic Markov chains, and applications
We prove a new concentration inequality for Ustatistics of order two fo...
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Dual optimal design and the ChristoffelDarboux polynomial
The purpose of this short note is to show that the ChristoffelDarboux p...
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Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic Networks
We introduce Markov Random Geometric Graphs (MRGGs), a growth model for ...
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Latent Distance Estimation for Random Geometric Graphs
Random geometric graphs are a popular choice for a latent points generat...
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Sparse Regularization for Mixture Problems
This paper investigates the statistical estimation of a discrete mixing ...
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Convex Regularization and Representer Theorems
We establish a result which states that regularizing an inverse problem ...
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On Representer Theorems and Convex Regularization
We establish a general principle which states that regularizing an inver...
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Nonnegative matrix factorization with side information for time series recovery and prediction
Motivated by the reconstruction and the prediction of electricity consum...
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Recovering Multiple Nonnegative Time Series From a Few Temporal Aggregates
Motivated by electricity consumption metering, we extend existing nonneg...
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Sparse Recovery Guarantees from Extreme Eigenvalues Small Deviations
This article provides a new toolbox to derive sparse recovery guarantees...
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Reconstructing undirected graphs from eigenspaces
In this paper, we aim at recovering an undirected weighted graph of N ve...
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Optimal designs for Lasso and Dantzig selector using Expander Codes
We investigate the highdimensional regression problem using adjacency m...
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Yohann De Castro
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