Thibaut Vidal

Thibaut Vidal

École Polytechnique de Montréal

H-index: 36

North America-Canada

About Thibaut Vidal

Thibaut Vidal, With an exceptional h-index of 36 and a recent h-index of 33 (since 2020), a distinguished researcher at École Polytechnique de Montréal, specializes in the field of Combinatorial Optimization, Machine Learning, Operations Research, Transportation and Logistics, Explainable AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Combinatorial Optimization and Machine Learning for Dynamic Inventory Routing

A survey of contextual optimization methods for decision-making under uncertainty

Regularization and optimization in model-based clustering

Trained Random Forests Completely Reveal your Dataset

Solving a continent-scale inventory routing problem at Renault

The Sample Average Approximation Method for Solving Two-Stage Stochastic Programs with Endogenous Uncertainty

Contextual Stochastic Vehicle Routing with Time Windows

Bilevel optimization for feature selection in the data-driven newsvendor problem

Thibaut Vidal Information

University

Position

Professor MAGI

Citations(all)

6579

Citations(since 2020)

4506

Cited By

3768

hIndex(all)

36

hIndex(since 2020)

33

i10Index(all)

55

i10Index(since 2020)

54

Email

University Profile Page

École Polytechnique de Montréal

Google Scholar

View Google Scholar Profile

Thibaut Vidal Skills & Research Interests

Combinatorial Optimization

Machine Learning

Operations Research

Transportation and Logistics

Explainable AI

Top articles of Thibaut Vidal

Title

Journal

Author(s)

Publication Date

Combinatorial Optimization and Machine Learning for Dynamic Inventory Routing

arXiv preprint arXiv:2402.04463

Toni Greif

Louis Bouvier

Christoph M Flath

Axel Parmentier

Sonja UK Rohmer

...

2024/2/6

A survey of contextual optimization methods for decision-making under uncertainty

Utsav Sadana

Abhilash Chenreddy

Erick Delage

Alexandre Forel

Emma Frejinger

...

2024/3/15

Regularization and optimization in model-based clustering

Pattern Recognition

Raphael Araujo Sampaio

Joaquim Dias Garcia

Marcus Poggi

Thibaut Vidal

2024/2/3

Trained Random Forests Completely Reveal your Dataset

arXiv preprint arXiv:2402.19232

Julien Ferry

Ricardo Fukasawa

Timothée Pascal

Thibaut Vidal

2024/2/29

Solving a continent-scale inventory routing problem at Renault

Transportation Science

Louis Bouvier

Guillaume Dalle

Axel Parmentier

Thibaut Vidal

2024/1

The Sample Average Approximation Method for Solving Two-Stage Stochastic Programs with Endogenous Uncertainty

arXiv preprint arXiv:2402.15486

Maria Bazotte

Margarida Carvalho

Thibaut Vidal

2024/2/23

Contextual Stochastic Vehicle Routing with Time Windows

arXiv preprint arXiv:2402.06968

Breno Serrano

Alexandre M Florio

Stefan Minner

Maximilian Schiffer

Thibaut Vidal

2024/2/10

Bilevel optimization for feature selection in the data-driven newsvendor problem

European Journal of Operational Research

Breno Serrano

Stefan Minner

Maximilian Schiffer

Thibaut Vidal

2024/6/1

Deep Learning for Data-Driven Districting-and-Routing

arXiv preprint arXiv:2402.06040

Arthur Ferraz

Quentin Cappart

Thibaut Vidal

2024/2/8

Community detection in the stochastic block model by mixed integer programming

Pattern Recognition

Breno Serrano

Thibaut Vidal

2024/4/8

Recent advances in vehicle routing with stochastic demands: Bayesian learning for correlated demands and elementary branch-price-and-cut

Alexandre M Florio

Michel Gendreau

Richard F Hartl

Stefan Minner

Thibaut Vidal

2023/5/1

The EURO meets NeurIPS 2022 vehicle routing competition

Wouter Kool

Laurens Bliek

Danilo Numeroso

Yingqian Zhang

Tom Catshoek

...

2023

Explainable data-driven optimization: From context to decision and back again

Alexandre Forel

Axel Parmentier

Thibaut Vidal

2023/7/3

Decomposition strategies for vehicle routing heuristics

INFORMS Journal on Computing

Alberto Santini

Michael Schneider

Thibaut Vidal

Daniele Vigo

2023/5

Optimal decision diagrams for classification

Proceedings of the AAAI Conference on Artificial Intelligence

Alexandre M Florio

Pedro Martins

Maximilian Schiffer

Thiago Serra

Thibaut Vidal

2023/6/26

Exponential-size neighborhoods for the pickup-and-delivery traveling salesman problem

Transportation Science

Toni Pacheco

Rafael Martinelli

Anand Subramanian

Túlio AM Toffolo

Thibaut Vidal

2023/3

Impact of Distance Data Inaccuracies on Vehicle Routing Algorithms: An Experimental Study

Fernando Obed Guillen Reyes

Jean-Yves Potvin

Michel Gendreau

Thibaut Vidal

2023/6

Learning-based online optimization for autonomous mobility-on-demand fleet control

arXiv preprint arXiv:2302.03963

Kai Jungel

Axel Parmentier

Maximilian Schiffer

Thibaut Vidal

2023/2/8

Neural networks for local search and crossover in vehicle routing: a possible overkill?

Ítalo Santana

Andrea Lodi

Thibaut Vidal

2023/5/23

Adaptive Partitioning for Chance-Constrained Problems with Finite Support

arXiv preprint arXiv:2312.13180

Marius Roland

Alexandre Forel

Thibaut Vidal

2023/12/20

See List of Professors in Thibaut Vidal University(École Polytechnique de Montréal)

Co-Authors

H-index: 154
Gilbert Laporte

Gilbert Laporte

HEC Montréal

H-index: 39
Eduardo Uchoa

Eduardo Uchoa

Universidade Federal Fluminense

H-index: 38
Nelson Maculan

Nelson Maculan

Universidade Federal do Rio de Janeiro

H-index: 34
Marcus Poggi

Marcus Poggi

Pontifícia Universidade Católica do Rio de Janeiro

H-index: 31
Walter Rei

Walter Rei

Université du Québec à Montréal

H-index: 30
Artur Alves Pessoa

Artur Alves Pessoa

Universidade Federal Fluminense

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