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09/15/2023
Modelling Irregularly Sampled Time Series Without Imputation
Modelling irregularly-sampled time series (ISTS) is challenging because ...
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08/29/2023
On factorization of rank-one auto-correlation matrix polynomials
This article characterizes the rank-one factorization of auto-correlatio...
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02/26/2022
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract)
This paper is an extended version of [Burashnikova et al., 2021, arXiv: ...
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12/04/2021
Recommender systems: when memory matters
In this paper, we study the effect of long memory in the learnability of...
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11/30/2021
Bilingual Topic Models for Comparable Corpora
Probabilistic topic models like Latent Dirichlet Allocation (LDA) have b...
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12/12/2020
Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation
In this paper, we propose a theoretically founded sequential strategy fo...
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03/03/2020
Nonlinear Functional Output Regression: a Dictionary Approach
Many applications in signal processing involve data that consists in a h...
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10/27/2018
Dealing with Uncertain Inputs in Regression Trees
Tree-based ensemble methods, as Random Forests and Gradient Boosted Tree...
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03/15/2018
Maxiset point of view for signal detection in inverse problems
This paper extends the successful maxiset paradigm from function estimat...
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10/25/2017
New results on approximate Hilbert pairs of wavelet filters with common factors
In this paper, we consider the design of wavelet filters based on the Th...
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06/01/2016