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04/08/2023
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification
We consider the problem of uncertainty quantification in high dimensiona...
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02/07/2023
A Bipartite Ranking Approach to the Two-Sample Problem
The two-sample problem, which consists in testing whether independent sa...
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01/08/2023
Online Centralized Non-parametric Change-point Detection via Graph-based Likelihood-ratio Estimation
Consider each node of a graph to be generating a data stream that is syn...
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09/09/2022
Fast and Accurate Importance Weighting for Correcting Sample Bias
Bias in datasets can be very detrimental for appropriate statistical est...
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05/28/2022
Collaborative likelihood-ratio estimation over graphs
Assuming we have i.i.d observations from two unknown probability density...
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10/20/2021
Online non-parametric change-point detection for heterogeneous data streams observed over graph nodes
Consider a heterogeneous data stream being generated by the nodes of a g...
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09/03/2021
Epidemic Models for COVID-19 during the First Wave from February to May 2020: a Methodological Review
We review epidemiological models for the propagation of the COVID-19 pan...
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07/07/2021
ADAPT : Awesome Domain Adaptation Python Toolbox
ADAPT is an open-source python library providing the implementation of s...
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04/07/2021
Concentration Inequalities for Two-Sample Rank Processes with Application to Bipartite Ranking
The ROC curve is the gold standard for measuring the performance of a te...
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03/05/2021
Discrepancy-Based Active Learning for Domain Adaptation
The goal of the paper is to design active learning strategies which lead...
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06/30/2020
Robust Kernel Density Estimation with Median-of-Means principle
In this paper, we introduce a robust nonparametric density estimator com...
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06/18/2020
Offline detection of change-points in the mean for stationary graph signals
This paper addresses the problem of segmenting a stream of graph signals...
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06/15/2020
Adversarial Weighting for Domain Adaptation in Regression
We present a novel instance based approach to handle regression tasks in...
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06/11/2020
Dynamic Epidemic Control via Sequential Resource Allocation
In the Dynamic Resource Allocation (DRA) problem, an administrator has t...
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02/12/2020
Optimal Multiple Stopping Rule for Warm-Starting Sequential Selection
In this paper we present the Warm-starting Dynamic Thresholding algorith...
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10/18/2019
Detecting multiple change-points in the time-varying Ising model
This work focuses on the estimation of change-points in a time-varying I...
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09/20/2019
Sequential Dynamic Resource Allocation for Epidemic Control
Under the Dynamic Resource Allocation (DRA) model, an administrator has ...
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08/09/2019
Multivariate Convolutional Sparse Coding with Low Rank Tensor
This paper introduces a new multivariate convolutional sparse coding bas...
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07/15/2019
Revealing posturographic features associated with the risk of falling in patients with Parkinsonian syndromes via machine learning
Falling in Parkinsonian syndromes (PS) is associated with postural insta...
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09/19/2018
The Multi-Round Sequential Selection Problem
In the Sequential Selection Problem (SSP), immediate and irrevocable dec...
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01/02/2018
ruptures: change point detection in Python
ruptures is a Python library for offline change point detection. This pa...
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01/02/2018
A review of change point detection methods
In this work, methods to detect one or several change points in multivar...
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09/15/2017
A Spectral Method for Activity Shaping in Continuous-Time Information Cascades
Information Cascades Model captures dynamical properties of user activit...
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05/29/2017
Distributed Convolutional Sparse Coding
We consider the problem of building shift-invariant representations for ...
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03/07/2017
Global optimization of Lipschitz functions
The goal of the paper is to design sequential strategies which lead to e...
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03/14/2016
A ranking approach to global optimization
We consider the problem of maximizing an unknown function over a compact...
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02/16/2016
Stochastic Process Bandits: Upper Confidence Bounds Algorithms via Generic Chaining
The paper considers the problem of global optimization in the setup of s...
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10/19/2015
Optimization for Gaussian Processes via Chaining
In this paper, we consider the problem of stochastic optimization under ...
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11/19/2013
Gaussian Process Optimization with Mutual Information
In this paper, we analyze a generic algorithm scheme for sequential glob...
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04/19/2013
Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration
In this paper, we consider the challenge of maximizing an unknown functi...
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09/14/2012
Link Prediction in Graphs with Autoregressive Features
In the paper, we consider the problem of link prediction in time-evolvin...
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06/27/2012
Estimation of Simultaneously Sparse and Low Rank Matrices
The paper introduces a penalized matrix estimation procedure aiming at s...
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05/07/2012
Graph Prediction in a Low-Rank and Autoregressive Setting
We study the problem of prediction for evolving graph data. We formulate...
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03/24/2012