Ekhine Irurozki

28 papers A* 3A 2B 3Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Kemeny Medians: Consensus Ranking Distributions Definition, Properties and Statistical Learning.
CoRR
Stéphan Clémençon, Ekhine Irurozki
2024 J jnl
A Combinatorial Optimization Framework for Probability-Based Algorithms by Means of Generative Models.
ACM Trans. Evol. Learn. Optim.
Mikel Malagón, Ekhine Irurozki, Josu Ceberio
2024 — conf
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks.
EMNLP (Findings)
Anas Himmi, Ekhine Irurozki, Nathan Noiry, Stéphan Clémençon, Pierre Colombo
2023 A* conf
Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues.
ICML
Morgane Goibert, Clément Calauzènes, Ekhine Irurozki, Stéphan Clémençon
2023 J jnl
Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues.
CoRR
Morgane Goibert, Clément Calauzènes, Ekhine Irurozki, Stéphan Clémençon
2023 J jnl
The first AI4TSP competition: Learning to solve stochastic routing problems.
Artif. Intell.
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
2023 J jnl
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks.
CoRR
Anas Himmi, Ekhine Irurozki, Nathan Noiry, Stéphan Clémençon, Pierre Colombo
2022 A conf
Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications.
AISTATS
Morgane Goibert, Stéphan Clémençon, Ekhine Irurozki, Pavlo Mozharovskyi
2022 J jnl
Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications.
CoRR
Morgane Goibert, Stéphan Clémençon, Ekhine Irurozki, Pavlo Mozharovskyi
2022 J jnl
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems.
CoRR
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
2022 A* conf
What are the best Systems? New Perspectives on NLP Benchmarking.
NeurIPS
Pierre Colombo, Nathan Noiry, Ekhine Irurozki, Stéphan Clémençon
2022 J jnl
What are the best systems? New perspectives on NLP Benchmarking.
CoRR
Pierre Colombo, Nathan Noiry, Ekhine Irurozki, Stéphan Clémençon
2021 A* conf
Concentric mixtures of Mallows models for top-k rankings: sampling and identifiability.
ICML
Fabien Collas, Ekhine Irurozki
2021 — conf
Rank Aggregation for Non-stationary Data Streams.
ECML/PKDD (3)
Ekhine Irurozki, Aritz Pérez, Jesus L. Lobo, Javier Del Ser
2021 A conf
Unbalanced mallows models for optimizing expensive black-box permutation problems.
GECCO
Ekhine Irurozki, Manuel López-Ibáñez
2020 B conf
Alternative Representations for Codifying Solutions in Permutation-Based Problems.
CEC
Mikel Malagón, Ekhine Irurozki, Josu Ceberio
2020 J jnl
Concentric mixtures of Mallows models for top-k rankings: sampling and identifiability.
CoRR
Fabien Collas, Ekhine Irurozki
2019 — conf
Approaching the quadratic assignment problem with kernels of mallows models under the hamming distance.
GECCO (Companion)
Etor Arza, Josu Ceberio, Aritz Pérez, Ekhine Irurozki
2019 J jnl
Kernels of Mallows Models under the Hamming Distance for solving the Quadratic Assignment Problem.
CoRR
Etor Arza, Aritz Pérez, Ekhine Irurozki, Josu Ceberio
2019 J jnl
Online Ranking with Concept Drifts in Streaming Data.
CoRR
Ekhine Irurozki, Jesus L. Lobo, Aritz Pérez, Javier Del Ser
2018 J jnl
Algorithm 989: perm_mateda: A Matlab Toolbox of Estimation of Distribution Algorithms for Permutation-based Combinatorial Optimization Problems.
ACM Trans. Math. Softw.
Ekhine Irurozki, Josu Ceberio, Josean Santamaria, Roberto Santana, Alexander Mendiburu
2015 J jnl
A review of distances for the Mallows and Generalized Mallows estimation of distribution algorithms.
Comput. Optim. Appl.
Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano
2014 J jnl
A Distance-Based Ranking Model Estimation of Distribution Algorithm for the Flowshop Scheduling Problem.
IEEE Trans. Evol. Comput.
Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano
2014 B conf
Extending distance-based ranking models in estimation of distribution algorithms.
IEEE Congress on Evolutionary Computation
Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano
2012 J jnl
A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems.
Prog. Artif. Intell.
Josu Ceberio, Ekhine Irurozki, Alexander Mendiburu, José Antonio Lozano
2011 J jnl
A Preprocessing Procedure for Haplotype Inference by Pure Parsimony.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ekhine Irurozki, Borja Calvo, José Antonio Lozano
2011 — conf
Learning Probability Distributions over Permutations by Means of Fourier Coefficients.
Canadian AI
Ekhine Irurozki, Borja Calvo, José Antonio Lozano
2009 B conf
A new preprocessing procedure for the haplotype inference problem.
IEEE Congress on Evolutionary Computation
Ekhine Irurozki, José Antonio Lozano