Ekhine Irurozki

28 papers A* 3A 2B 3Journal 16Unranked 4

Year	Rank	Type	Title / 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