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07/07/2023
Exact recovery of the support of piecewise constant images via total variation regularization
This work is concerned with the recovery of piecewise constant images fr...
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12/23/2022
Neural Networks beyond explainability: Selective inference for sequence motifs
Over the past decade, neural networks have been successful at making pre...
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03/29/2022
Random Geometric Graph: Some recent developments and perspectives
The Random Geometric Graph (RGG) is a random graph model for network dat...
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03/29/2022
A new procedure for Selective Inference with the Generalized Linear Lasso
This articles investigates the distribution of the solutions of the gene...
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06/24/2021
Three rates of convergence or separation via U-statistics in a dependent framework
Despite the ubiquity of U-statistics in modern Probability and Statistic...
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06/17/2021
Minimax Estimation of Partially-Observed Vector AutoRegressions
To understand the behavior of large dynamical systems like transportatio...
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02/10/2021
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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11/20/2020
Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains, and applications
We prove a new concentration inequality for U-statistics of order two fo...
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09/08/2020
Dual optimal design and the Christoffel-Darboux polynomial
The purpose of this short note is to show that the Christoffel-Darboux p...
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06/12/2020
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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09/15/2019
Latent Distance Estimation for Random Geometric Graphs
Random geometric graphs are a popular choice for a latent points generat...
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07/23/2019
Sparse Regularization for Mixture Problems
This paper investigates the statistical estimation of a discrete mixing ...
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12/11/2018
Convex Regularization and Representer Theorems
We establish a result which states that regularizing an inverse problem ...
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06/26/2018
On Representer Theorems and Convex Regularization
We establish a general principle which states that regularizing an inver...
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09/19/2017
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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10/05/2016
Recovering Multiple Nonnegative Time Series From a Few Temporal Aggregates
Motivated by electricity consumption metering, we extend existing nonneg...
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04/05/2016
Sparse Recovery Guarantees from Extreme Eigenvalues Small Deviations
This article provides a new toolbox to derive sparse recovery guarantees...
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03/26/2016
Reconstructing undirected graphs from eigenspaces
In this paper, we aim at recovering an undirected weighted graph of N ve...
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10/12/2010