Ekhine Irurozki

According to our database, Ekhine Irurozki authored at least 28 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Combinatorial Optimization Framework for Probability-Based Algorithms by Means of Generative Models.

Mikel Malagon, Ekhine Irurozki, Josu Ceberio

ACM Trans. Evol. Learn. Optim., September, 2024

Machine Learning-Driven Low-Complexity Optical Power Optimization for Point-to-Point Links.

Isaia Andrenacci, Matteo Lonardi, Petros Ramantanis, Elie Awwad, Ekhiñe Irurozki, Stéphan Clémençon, Paolo Serena, Chiara Lasagni, Sébastien Bigo, Patricia Layec

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks.

Anas Himmi, Ekhine Irurozki, Nathan Noiry, Stéphan Clémençon, Pierre Colombo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

The first AI4TSP competition: Learning to solve stochastic routing problems.

Yingqian Zhang, Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Robbert Reijnen, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki

Artif. Intell., June, 2023

Comparing Two Samples Through Stochastic Dominance: A Graphical Approach.

Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez

J. Comput. Graph. Stat., April, 2023

On the Fair Comparison of Optimization Algorithms in Different Machines.

Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez

CoRR, 2023

Fast and accurate nonlinear interference in-band spectrum prediction for sparse channel allocation.

Isaia Andrenacci, Matteo Lonardi, Petros Ramantanis, Elie Awwad, Ekhiñe Irurozki, Stéphan Clémençon

Proceedings of the International Conference on Optical Network Design and Modeling, 2023

Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues.

Morgane Goibert, Clément Calauzènes, Ekhine Irurozki, Stéphan Clémençon

Proceedings of the International Conference on Machine Learning, 2023

2022

The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems.

Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Yingqian Zhang, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki

CoRR, 2022

What are the best Systems? New Perspectives on NLP Benchmarking.

Pierre Colombo, Nathan Noiry, Ekhine Irurozki, Stéphan Clémençon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Implementing the cumulative difference plot in the IOHanalyzer.

Etor Arza, Josu Ceberio, Ekhiñe Irurozki, Aritz Pérez

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications.

Morgane Goibert, Stéphan Clémençon, Ekhine Irurozki, Pavlo Mozharovskyi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Rank Aggregation for Non-stationary Data Streams.

Ekhine Irurozki, Aritz Pérez, Jesus L. Lobo, Javier Del Ser

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Concentric mixtures of Mallows models for top-k rankings: sampling and identifiability.

Fabien Collas, Ekhine Irurozki

Proceedings of the 38th International Conference on Machine Learning, 2021

Unbalanced mallows models for optimizing expensive black-box permutation problems.

Ekhine Irurozki, Manuel López-Ibáñez

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem.

Etor Arza, Aritz Pérez, Ekhiñe Irurozki, Josu Ceberio

Swarm Evol. Comput., 2020

An adaptive neuroevolution-based hyperheuristic.

Etor Arza, Josu Ceberio, Aritz Pérez, Ekhiñe Irurozki

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Alternative Representations for Codifying Solutions in Permutation-Based Problems.

Mikel Malagon, Ekhine Irurozki, Josu Ceberio

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Online Ranking with Concept Drifts in Streaming Data.

Ekhine Irurozki, Jesus L. Lobo, Aritz Pérez, Javier Del Ser

CoRR, 2019

Approaching the quadratic assignment problem with kernels of mallows models under the hamming distance.

Etor Arza, Josu Ceberio, Aritz Pérez, Ekhine Irurozki

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

Algorithm 989: perm_mateda: A Matlab Toolbox of Estimation of Distribution Algorithms for Permutation-based Combinatorial Optimization Problems.

Ekhine Irurozki, Josu Ceberio, Josean Santamaria, Roberto Santana, Alexander Mendiburu

ACM Trans. Math. Softw., 2018

2015

A review of distances for the Mallows and Generalized Mallows estimation of distribution algorithms.

Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano

Comput. Optim. Appl., 2015

2014

A Distance-Based Ranking Model Estimation of Distribution Algorithm for the Flowshop Scheduling Problem.

Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano

IEEE Trans. Evol. Comput., 2014

Extending distance-based ranking models in estimation of distribution algorithms.

Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2012

A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems.

Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano

Prog. Artif. Intell., 2012

2011

A Preprocessing Procedure for Haplotype Inference by Pure Parsimony.

Ekhine Irurozki, Borja Calvo, José Antonio Lozano

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Learning Probability Distributions over Permutations by Means of Fourier Coefficients.

Ekhine Irurozki, Borja Calvo, José Antonio Lozano

Proceedings of the Advances in Artificial Intelligence, 2011

2009

A new preprocessing procedure for the haplotype inference problem.

Ekhine Irurozki, José Antonio Lozano

Proceedings of the IEEE Congress on Evolutionary Computation, 2009