Bruno Ordozgoiti Rubio

According to our database, Bruno Ordozgoiti Rubio authored at least 31 papers between 2015 and 2024.

Collaborative distances:

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

2024

Diversity-aware clustering: Computational Complexity and Approximation Algorithms.

Suhas Thejaswi, Ameet Gadekar, Bruno Ordozgoiti, Aristides Gionis

CoRR, 2024

2023

Fair Column Subset Selection.

Antonis Matakos, Bruno Ordozgoiti, Suhas Thejaswi

CoRR, 2023

A Constant-Factor Approximation Algorithm for Reconciliation k-Median.

Joachim Spoerhase, Kamyar Khodamoradi, Benedikt Riegel, Bruno Ordozgoiti, Aristides Gionis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Provable randomized rounding for minimum-similarity diversification.

Bruno Ordozgoiti, Ananth Mahadevan, Antonis Matakos, Aristides Gionis

Data Min. Knowl. Discov., 2022

Accepted Tutorials at The Web Conference 2022.

Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Clustering with Fair-Center Representation: Parameterized Approximation Algorithms and Heuristics.

Suhas Thejaswi, Ameet Gadekar, Bruno Ordozgoiti, Michal Osadnik

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Generalized Leverage Scores: Geometric Interpretation and Applications.

Bruno Ordozgoiti, Antonis Matakos, Aristides Gionis

Proceedings of the International Conference on Machine Learning, 2022

2021

Approximation algorithms for k-median with lower-bound constraints.

Ameet Gadekar, Bruno Ordozgoiti, Suhas Thejaswi

CoRR, 2021

Insightful Dimensionality Reduction with Very Low Rank Variable Subsets.

Bruno Ordozgoiti, Sachith Pai, Marta Kolczynska

Proceedings of the WWW '21: The Web Conference 2021, 2021

Diversity-Aware k-median: Clustering with Fair Center Representation.

Suhas Thejaswi, Bruno Ordozgoiti, Aristides Gionis

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

2020

Searching for polarization in signed graphs: a local spectral approach.

Han Xiao, Bruno Ordozgoiti, Aristides Gionis

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Finding large balanced subgraphs in signed networks.

Bruno Ordozgoiti, Antonis Matakos, Aristides Gionis

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Mining Signed Networks: Theory and Applications: Tutorial proposal for the Web Conference 2020.

Aristides Gionis, Antonis Matakos, Bruno Ordozgoiti, Han Xiao

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Off-the-Grid: Fast and Effective Hyperparameter Search for Kernel Clustering.

Bruno Ordozgoiti, Lluís A. Belanche Muñoz

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Discovering conflicting groups in signed networks.

Ruo-Chun Tzeng, Bruno Ordozgoiti, Aristides Gionis

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Regularized greedy column subset selection.

Bruno Ordozgoiti, Alberto Mozo, Jesús García López de Lacalle

Inf. Sci., 2019

Reconciliation k-median: Clustering with Non-polarized Representatives.

Bruno Ordozgoiti, Aristides Gionis

Proceedings of the World Wide Web Conference, 2019

Discovering Polarized Communities in Signed Networks.

Francesco Bonchi, Edoardo Galimberti, Aristides Gionis, Bruno Ordozgoiti, Giancarlo Ruffo

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Column subset selection in practice : efficient heuristics and regularization.

Bruno Ordozgoiti Rubio

PhD thesis, 2018

Iterative column subset selection.

Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo

Knowl. Inf. Syst., 2018

2017

Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection.

Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo

Proceedings of the Advances in Computational Intelligence, 2017

Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure.

Bruno Ordozgoiti, Alberto Mozo, Sandra Gómez Canaval, Udi Margolin, Elisha J. Rosensweig, Itai Segall

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Using Machine Learning to Detect Noisy Neighbors in 5G Networks.

Udi Margolin, Alberto Mozo, Bruno Ordozgoiti Rubio, Danny Raz, Elisha J. Rosensweig, Itai Segall

CoRR, 2016

Can machine learning aid in delivering new use cases and scenarios in 5G?

Teodora Sandra Buda, Haytham Assem, Lei Xu, Danny Raz, Udi Margolin, Elisha J. Rosensweig, Diego R. López, Marius Iulian Corici, Mikhail Smirnov, Robert Mullins, Olga Uryupina, Alberto Mozo, Bruno Ordozgoiti Rubio, Ángel Martín, Alaa Alloush, Pat O'Sullivan, Imen Grida Ben Yahia

Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

A Fast Iterative Algorithm for Improved Unsupervised Feature Selection.

Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

CogNet: A network management architecture featuring cognitive capabilities.

Lei Xu, Haytham Assem, Imen Grida Ben Yahia, Teodora Sandra Buda, Ángel Martín, Domenico Gallico, Matteo Biancani, Antonio Pastor, Pedro A. Aranda, Mikhail I. Smirnov, Danny Raz, Olga Uryupina, Alberto Mozo, Bruno Ordozgoiti Rubio, Marius Iulian Corici, Pat O'Sullivan, Robert Mullins

Proceedings of the European Conference on Networks and Communications, 2016

PSCEG: an unbiased parallel subspace clustering algorithm using exact grids.

Bo Zhu, Alberto Mozo, Bruno Ordozgoiti

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Parallelized unsupervised feature selection for large-scale network traffic analysis.

Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Feature Ranking and Selection for Big Data Sets.

Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo

Proceedings of the New Trends in Databases and Information Systems, 2016

2015

Massively Parallel Unsupervised Feature Selection on Spark.

Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo

Proceedings of the New Trends in Databases and Information Systems, 2015

NPEPE: Massive Natural Computing Engine for Optimally Solving NP-complete Problems in Big Data Scenarios.

Sandra Gómez Canaval, Bruno Ordozgoiti Rubio, Alberto Mozo

Proceedings of the New Trends in Databases and Information Systems, 2015