Róbert Busa-Fekete

73 papers A* 22A 5B 1Journal 25Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Statistical Learning from Attribution Sets. CoRR Lorne Applebaum, Róbert Busa-Fekete, August Y. Chen, Claudio Gentile, Tomer Koren, Aryan Mokhtari
2025	A*	`conf`	A Scalable Crawling Algorithm Utilizing Noisy Change-Indicating Signals. WWW Julian Zimmert, Róbert Busa-Fekete, András György, Linhai Qiu, Hyomin Choi, Tzu-Wei Sung, Hao Shen, Sharmila Subramaniam, Li Xiao
2025	J	`jnl`	A Scalable Crawling Algorithm Utilizing Noisy Change-Indicating Signals. CoRR Róbert Busa-Fekete, Julian Zimmert, András György, Linhai Qiu, Tzu-Wei Sung, Hao Shen, Hyomin Choi, Sharmila Subramaniam, Li Xiao
2025	J	`jnl`	Near-optimal algorithms for private estimation and sequential testing of collision probability. CoRR Róbert Busa-Fekete, Umar Syed
2025	J	`jnl`	Nearly Optimal Sample Complexity for Learning with Label Proportions. CoRR Róbert Busa-Fekete, Travis Dick, Claudio Gentile, Haim Kaplan, Tomer Koren, Uri Stemmer
2024	—	`conf`	Assessing Web Fingerprinting Risk. WWW (Companion Volume) Enrico Bacis, Igor Bilogrevic, Róbert Busa-Fekete, Asanka Herath, Antonio Sartori, Umar Syed
2024	J	`jnl`	Assessing Web Fingerprinting Risk. CoRR Enrico Bacis, Igor Bilogrevic, Róbert Busa-Fekete, Asanka Herath, Antonio Sartori, Umar Syed
2024	A*	`conf`	Auditing Privacy Mechanisms via Label Inference Attacks. NeurIPS Róbert Busa-Fekete, Travis Dick, Claudio Gentile, Andrés Muñoz Medina, Adam Smith, Marika Swanberg
2023	A*	`conf`	Easy Learning from Label Proportions. NeurIPS Róbert Busa-Fekete, Heejin Choi, Travis Dick, Claudio Gentile, Andrés Muñoz Medina
2023	J	`jnl`	Private and Communication-Efficient Algorithms for Entropy Estimation. CoRR Gecia Bravo Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh, Andres Muñoz Medina, Umar Syed
2022	—	`conf`	On the Use of Ensemble X-Vector Embeddings for Improved Sleepiness Detection. SPECOM José Vicente Egas López, Róbert Busa-Fekete, Gábor Gosztolya
2022	A*	`conf`	Private and Communication-Efficient Algorithms for Entropy Estimation. NeurIPS Gecia Bravo Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh, Andrés Muñoz Medina, Umar Syed
2022	A*	`conf`	Regret Bounds for Multilabel Classification in Sparse Label Regimes. NeurIPS Róbert Busa-Fekete, Heejin Choi, Krzysztof Dembczynski, Claudio Gentile, Henry Reeve, Balázs Szörényi
2022	J	`jnl`	Statistical anonymity: Quantifying reidentification risks without reidentifying users. CoRR Gecia Bravo Hermsdorff, Róbert Busa-Fekete, Lee M. Gunderson, Andrés Muñoz Medina, Umar Syed
2021	A*	`conf`	Clustering for Private Interest-based Advertising. KDD Alessandro Epasto, Andrés Muñoz Medina, Steven Avery, Yijian Bai, Róbert Busa-Fekete, CJ Carey, Ya Gao, David Guthrie, Subham Ghosh, James Ioannidis, Junyi Jiao, Jakub Lacki, Jason Lee, Arne Mauser, Brian Milch, Vahab S. Mirrokni, Deepak Ravichandran, Wei Shi, Max Spero, Yunting Sun, Umar Syed, Sergei Vassilvitskii, Shuo Wang
2021	J	`jnl`	Ensemble Bag-of-Audio-Words Representation Improves Paralinguistic Classification Accuracy. IEEE ACM Trans. Audio Speech Lang. Process. Gábor Gosztolya, Róbert Busa-Fekete
2021	A*	`conf`	Identity testing for Mallows model. NeurIPS Róbert Busa-Fekete, Dimitris Fotakis, Balázs Szörényi, Emmanouil Zampetakis
2021	J	`jnl`	Preference-based Online Learning with Dueling Bandits: A Survey. J. Mach. Learn. Res. Viktor Bengs, Róbert Busa-Fekete, Adil El Mesaoudi-Paul, Eyke Hüllermeier
2021	A*	`conf`	Private and Non-private Uniformity Testing for Ranking Data. NeurIPS Róbert Busa-Fekete, Dimitris Fotakis, Emmanouil Zampetakis
2020	A*	`conf`	Learning to Crawl. AAAI Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi
2020	J	`jnl`	Probabilistic Label Trees for Extreme Multi-label Classification. CoRR Kalina Jasinska-Kobus, Marek Wydmuch, Krzysztof Dembczynski, Mikhail Kuznetsov, Róbert Busa-Fekete
2019	J	`jnl`	Calibrating AdaBoost for phoneme classification. Soft Comput. Gábor Gosztolya, Róbert Busa-Fekete
2019	J	`jnl`	Learning to Crawl. CoRR Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi
2019	J	`jnl`	On the computational complexity of the probabilistic label tree algorithms. CoRR Róbert Busa-Fekete, Krzysztof Dembczynski, Alexander Golovnev, Kalina Jasinska, Mikhail Kuznetsov, Maxim Sviridenko, Chao Xu
2019	A*	`conf`	Optimal Learning of Mallows Block Model. COLT Róbert Busa-Fekete, Dimitris Fotakis, Balázs Szörényi, Manolis Zampetakis
2019	J	`jnl`	Optimal Learning of Mallows Block Model. CoRR Róbert Busa-Fekete, Dimitris Fotakis, Balázs Szörényi, Manolis Zampetakis
2018	A*	`conf`	A no-regret generalization of hierarchical softmax to extreme multi-label classification. NeurIPS Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski
2018	J	`jnl`	A no-regret generalization of hierarchical softmax to extreme multi-label classification. CoRR Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski
2018	A*	`conf`	Distributed Stochastic Optimization via Adaptive SGD. NeurIPS Ashok Cutkosky, Róbert Busa-Fekete
2018	J	`jnl`	Distributed Stochastic Optimization via Adaptive Stochastic Gradient Descent. CoRR Ashok Cutkosky, Róbert Busa-Fekete
2018	—	`conf`	Extreme Multilabel Classification for Social Media Chairs' Welcome and Organization. WWW (Companion Volume) Akshay Soni, Aasish Pappu, Róbert Busa-Fekete, Krzysztof Dembczynski
2018	—	`conf`	Posterior Calibration for Multi-Class Paralinguistic Classification. SLT Gábor Gosztolya, Róbert Busa-Fekete
2018	J	`jnl`	Preference-based Online Learning with Dueling Bandits: A Survey. CoRR Róbert Busa-Fekete, Eyke Hüllermeier, Adil El Mesaoudi-Paul
2018	A*	`conf`	Ranking Distributions based on Noisy Sorting. ICML Adil El Mesaoudi-Paul, Eyke Hüllermeier, Róbert Busa-Fekete
2017	A	`conf`	DNN-Based Feature Extraction and Classifier Combination for Child-Directed Speech, Cold and Snoring Identification. INTERSPEECH Gábor Gosztolya, Róbert Busa-Fekete, Tamás Grósz, László Tóth
2017	A*	`conf`	Multi-objective Bandits: Optimizing the Generalized Gini Index. ICML Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Shie Mannor
2017	J	`jnl`	Multi-objective Bandits: Optimizing the Generalized Gini Index. CoRR Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Shie Mannor
2016	—	`conf`	Consistency of Probabilistic Classifier Trees. ECML/PKDD (2) Krzysztof Dembczynski, Wojciech Kotlowski, Willem Waegeman, Róbert Busa-Fekete, Eyke Hüllermeier
2016	A	`conf`	Determining Native Language and Deception Using Phonetic Features and Classifier Combination. INTERSPEECH Gábor Gosztolya, Tamás Grósz, Róbert Busa-Fekete, László Tóth
2016	A*	`conf`	Extreme F-measure Maximization using Sparse Probability Estimates. ICML Kalina Jasinska, Krzysztof Dembczynski, Róbert Busa-Fekete, Karlson Pfannschmidt, Timo Klerx, Eyke Hüllermeier
2015	A	`conf`	Assessing the degree of nativeness and parkinson's condition using Gaussian processes and deep rectifier neural networks. INTERSPEECH Tamás Grósz, Róbert Busa-Fekete, Gábor Gosztolya, László Tóth
2015	—	`conf`	Online F-Measure Optimization. NIPS Róbert Busa-Fekete, Balázs Szörényi, Krzysztof Dembczynski, Eyke Hüllermeier
2015	—	`conf`	Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach. NIPS Balázs Szörényi, Róbert Busa-Fekete, Adil Paul, Eyke Hüllermeier
2015	A*	`conf`	Qualitative Multi-Armed Bandits: A Quantile-Based Approach. ICML Balázs Szörényi, Róbert Busa-Fekete, Paul Weng, Eyke Hüllermeier
2014	B	`conf`	A Survey of Preference-Based Online Learning with Bandit Algorithms. ALT Róbert Busa-Fekete, Eyke Hüllermeier
2014	A	`conf`	Detecting the intensity of cognitive and physical load using AdaBoost and deep rectifier neural networks. INTERSPEECH Gábor Gosztolya, Tamás Grósz, Róbert Busa-Fekete, László Tóth
2014	A*	`conf`	PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences. AAAI Róbert Busa-Fekete, Balázs Szörényi, Eyke Hüllermeier
2014	A*	`conf`	Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows. ICML Róbert Busa-Fekete, Eyke Hüllermeier, Balázs Szörényi
2014	J	`jnl`	Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. Mach. Learn. Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Weiwei Cheng, Eyke Hüllermeier
2013	A	`conf`	Detecting autism, emotions and social signals using adaboost. INTERSPEECH Gábor Gosztolya, Róbert Busa-Fekete, László Tóth
2013	—	`conf`	Gossip-based distributed stochastic bandit algorithms. ICML (3) Balázs Szörényi, Róbert Busa-Fekete, István Hegedüs, Róbert Ormándi, Márk Jelasity, Balázs Kégl
2013	A*	`conf`	Learning to Rank Lexical Substitutions. EMNLP György Szarvas, Róbert Busa-Fekete, Eyke Hüllermeier
2013	—	`conf`	Top-k Selection based on Adaptive Sampling of Noisy Preferences. ICML (3) Róbert Busa-Fekete, Balázs Szörényi, Weiwei Cheng, Paul Weng, Eyke Hüllermeier
2013	J	`jnl`	Tune and mix: learning to rank using ensembles of calibrated multi-class classifiers. Mach. Learn. Róbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas
2012	A*	`conf`	Fast classification using sparse decision DAGs. ICML Róbert Busa-Fekete, Djalel Benbouzid, Balázs Kégl
2012	J	`jnl`	MULTIBOOST: A Multi-purpose Boosting Package. J. Mach. Learn. Res. Djalel Benbouzid, Róbert Busa-Fekete, Norman Casagrande, François-David Collin, Balázs Kégl
2012	—	`conf`	Peer-to-Peer Multi-class Boosting. Euro-Par István Hegedüs, Róbert Busa-Fekete, Róbert Ormándi, Márk Jelasity, Balázs Kégl
2011	—	`conf`	A Robust Ranking Methodology Based on Diverse Calibration of AdaBoost. ECML/PKDD (1) Róbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas
2011	—	`conf`	Ranking by calibrated AdaBoost. Yahoo! Learning to Rank Challenge Róbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas
2010	A*	`conf`	Fast boosting using adversarial bandits. ICML Róbert Busa-Fekete, Balázs Kégl
2010	—	`conf`	Palmprint Classification Using Wavelets and AdaBoost. ISNN (2) Guangyi Chen, Wei-Ping Zhu, Balázs Kégl, Róbert Busa-Fekete
2009	—	`conf`	A One-Class Classification Approach for Protein Sequences and Structures. ISBRA András Bánhalmi, Róbert Busa-Fekete, Balázs Kégl
2009	—	`conf`	Accelerating AdaBoost using UCB. KDD Cup Róbert Busa-Fekete, Balázs Kégl
2009	A*	`conf`	Boosting products of base classifiers. ICML Balázs Kégl, Róbert Busa-Fekete
2009	J	`jnl`	GraphClus, a MATLAB program for cluster analysis using graph theory. Comput. Geosci. Clifford S. Todd, Tivadar M. Toth, Róbert Busa-Fekete
2009	J	`jnl`	Research Paper: Semi-automated Construction of Decision Rules to Predict Morbidities from Clinical Texts. J. Am. Medical Informatics Assoc. Richárd Farkas, György Szarvas, István Hegedüs, Attila Almási, Veronika Vincze, Róbert Ormándi, Róbert Busa-Fekete
2008	J	`jnl`	Extracting Human Protein Information from MEDLINE Using a Full-Sentence Parser. Acta Cybern. Róbert Busa-Fekete, András Kocsor
2008	—	`ch.`	Tree-Based Algorithms for Protein Classification. Computational Intelligence in Bioinformatics Róbert Busa-Fekete, András Kocsor, Sándor Pongor
2007	—	`conf`	A Multi-Stack Based Phylogenetic Tree Building Method. ISBRA Róbert Busa-Fekete, András Kocsor, Csaba Bagyinka
2007	—	`conf`	An Automatic Retraining Method for Speaker Independent Hidden Markov Models. TSD András Bánhalmi, Róbert Busa-Fekete, András Kocsor
2007	—	`conf`	Counter-Example Generation-Based One-Class Classification. ECML András Bánhalmi, András Kocsor, Róbert Busa-Fekete
2007	J	`jnl`	Research Paper: State-of-the-art Anonymization of Medical Records Using an Iterative Machine Learning Framework. J. Am. Medical Informatics Assoc. György Szarvas, Richárd Farkas, Róbert Busa-Fekete
2007	—	`conf`	Whitening-Based Feature Space Transformations in a Speech Impediment Therapy System. TSD András Kocsor, Róbert Busa-Fekete, András Bánhalmi