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ORCIDBruno Ordozgoiti Rubio
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- affiliation: Queen Mary University of London, UK
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2020 – today
- 2024
[c24]Antonis Matakos
, Bruno Ordozgoiti, Suhas Thejaswi:
Fair Column Subset Selection. KDD 2024: 2189-2199- [i12]Suhas Thejaswi, Ameet Gadekar, Bruno Ordozgoiti, Aristides Gionis:
Diversity-aware clustering: Computational Complexity and Approximation Algorithms. CoRR abs/2401.05502 (2024) - 2023
- [c23]Joachim Spoerhase, Kamyar Khodamoradi, Benedikt Riegel, Bruno Ordozgoiti, Aristides Gionis:
A Constant-Factor Approximation Algorithm for Reconciliation k-Median. AISTATS 2023: 1719-1746 - [i11]Antonis Matakos, Bruno Ordozgoiti, Suhas Thejaswi:
Fair Column Subset Selection. CoRR abs/2306.04489 (2023) - 2022
- [j3]Bruno Ordozgoiti, Ananth Mahadevan, Antonis Matakos, Aristides Gionis:
Provable randomized rounding for minimum-similarity diversification. Data Min. Knowl. Discov. 36(2): 709-738 (2022) - [c22]Bruno Ordozgoiti, Antonis Matakos, Aristides Gionis:
Generalized Leverage Scores: Geometric Interpretation and Applications. ICML 2022: 17056-17070 - [c21]Suhas Thejaswi, Ameet Gadekar, Bruno Ordozgoiti, Michal Osadnik:
Clustering with Fair-Center Representation: Parameterized Approximation Algorithms and Heuristics. KDD 2022: 1749-1759 - [c20]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:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [i10]Bruno Ordozgoiti, Antonis Matakos, Aristides Gionis:
Generalized Leverage Scores: Geometric Interpretation and Applications. CoRR abs/2206.08054 (2022) - 2021
- [c19]Suhas Thejaswi, Bruno Ordozgoiti, Aristides Gionis:
Diversity-Aware k-median: Clustering with Fair Center Representation. ECML/PKDD (2) 2021: 765-780 - [c18]Bruno Ordozgoiti, Sachith Pai, Marta Kolczynska:
Insightful Dimensionality Reduction with Very Low Rank Variable Subsets. WWW 2021: 3066-3075 - [i9]Suhas Thejaswi, Bruno Ordozgoiti, Aristides Gionis:
Diversity-aware k-median : Clustering with fair center representation. CoRR abs/2106.11696 (2021) - [i8]Ameet Gadekar, Bruno Ordozgoiti, Suhas Thejaswi:
Approximation algorithms for k-median with lower-bound constraints. CoRR abs/2112.07030 (2021) - 2020
- [c17]Ruo-Chun Tzeng, Bruno Ordozgoiti, Aristides Gionis:
Discovering conflicting groups in signed networks. NeurIPS 2020 - [c16]Bruno Ordozgoiti, Lluís A. Belanche Muñoz:
Off-the-Grid: Fast and Effective Hyperparameter Search for Kernel Clustering. ECML/PKDD (2) 2020: 399-415 - [c15]Aristides Gionis, Antonis Matakos, Bruno Ordozgoiti, Han Xiao:
Mining Signed Networks: Theory and Applications: Tutorial proposal for the Web Conference 2020. WWW (Companion Volume) 2020: 309-310 - [c14]Han Xiao, Bruno Ordozgoiti, Aristides Gionis:
Searching for polarization in signed graphs: a local spectral approach. WWW 2020: 362-372 - [c13]Bruno Ordozgoiti, Antonis Matakos, Aristides Gionis:
Finding large balanced subgraphs in signed networks. WWW 2020: 1378-1388 - [i7]Han Xiao, Bruno Ordozgoiti, Aristides Gionis:
Searching for polarization in signed graphs: a local spectral approach. CoRR abs/2001.09410 (2020) - [i6]Bruno Ordozgoiti, Antonis Matakos, Aristides Gionis:
Finding large balanced subgraphs in signed networks. CoRR abs/2002.00775 (2020) - [i5]Bruno Ordozgoiti, Lluís A. Belanche Muñoz:
Off-the-grid: Fast and Effective Hyperparameter Search for Kernel Clustering. CoRR abs/2006.13567 (2020)
2010 – 2019
- 2019
- [j2]Bruno Ordozgoiti, Alberto Mozo, Jesús García López de Lacalle:
Regularized greedy column subset selection. Inf. Sci. 486: 393-418 (2019) - [c12]Francesco Bonchi, Edoardo Galimberti, Aristides Gionis, Bruno Ordozgoiti, Giancarlo Ruffo:
Discovering Polarized Communities in Signed Networks. CIKM 2019: 961-970 - [c11]Bruno Ordozgoiti, Aristides Gionis:
Reconciliation k-median: Clustering with Non-polarized Representatives. WWW 2019: 1387-1397 - [i4]Bruno Ordozgoiti, Aristides Gionis:
Reconciliation k-median: Clustering with Non-Polarized Representatives. CoRR abs/1902.10419 (2019) - [i3]Francesco Bonchi, Edoardo Galimberti, Aristides Gionis, Bruno Ordozgoiti, Giancarlo Ruffo:
Discovering Polarized Communities in Signed Networks. CoRR abs/1910.02438 (2019) - 2018
- [b1]Bruno Ordozgoiti Rubio:
Column subset selection in practice : efficient heuristics and regularization. Technical University of Madrid, Spain, 2018 - [j1]Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo:
Iterative column subset selection. Knowl. Inf. Syst. 54(1): 65-94 (2018) - [i2]Bruno Ordozgoiti Rubio, Alberto Mozo, Jesús García López de Lacalle:
Regularized Greedy Column Subset Selection. CoRR abs/1804.04421 (2018) - 2017
- [c10]Bruno Ordozgoiti, Alberto Mozo, Sandra Gómez Canaval, Udi Margolin, Elisha J. Rosensweig, Itai Segall:
Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure. ESANN 2017 - [c9]Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo:
Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection. IWANN (2) 2017: 722-733 - 2016
- [c8]Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo:
Feature Ranking and Selection for Big Data Sets. ADBIS (Short Papers and Workshops) 2016: 128-136 - [c7]Bruno Ordozgoiti, Sandra Gómez Canaval, Alberto Mozo:
Parallelized unsupervised feature selection for large-scale network traffic analysis. ESANN 2016 - [c6]Bo Zhu, Alberto Mozo, Bruno Ordozgoiti:
PSCEG: an unbiased parallel subspace clustering algorithm using exact grids. ESANN 2016 - [c5]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:
CogNet: A network management architecture featuring cognitive capabilities. EuCNC 2016: 325-329 - [c4]Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo:
A Fast Iterative Algorithm for Improved Unsupervised Feature Selection. ICDM 2016: 390-399 - [c3]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:
Can machine learning aid in delivering new use cases and scenarios in 5G? NOMS 2016: 1279-1284 - [i1]Udi Margolin, Alberto Mozo, Bruno Ordozgoiti Rubio, Danny Raz, Elisha J. Rosensweig, Itai Segall:
Using Machine Learning to Detect Noisy Neighbors in 5G Networks. CoRR abs/1610.07419 (2016) - 2015
- [c2]Bruno Ordozgoiti Rubio, Sandra Gómez Canaval, Alberto Mozo:
Massively Parallel Unsupervised Feature Selection on Spark. ADBIS (Short Papers and Workshops) 2015: 186-196 - [c1]Sandra Gómez Canaval, Bruno Ordozgoiti Rubio, Alberto Mozo:
NPEPE: Massive Natural Computing Engine for Optimally Solving NP-complete Problems in Big Data Scenarios. ADBIS (Short Papers and Workshops) 2015: 207-217
Coauthor Index
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