Gentile, Claudio

86 publications

ICML 2025 Nearly Optimal Sample Complexity for Learning with Label Proportions Robert Istvan Busa-Fekete, Travis Dick, Claudio Gentile, Haim Kaplan, Tomer Koren, Uri Stemmer

ALT 2024 Adversarial Online Collaborative Filtering Stephen Pasteris, Fabio Vitale, Mark Herbster, Claudio Gentile, Andre Panisson

NeurIPS 2024 Auditing Privacy Mechanisms via Label Inference Attacks Róbert István Busa-Fekete, Travis Dick, Claudio Gentile, Andrés Muñoz Medina, Adam Smith, Marika Swanberg

AISTATS 2024 Data-Driven Online Model Selection with Regret Guarantees Chris Dann, Claudio Gentile, Aldo Pacchiano

JMLR 2024 Fast Rates in Pool-Based Batch Active Learning Claudio Gentile, Zhilei Wang, Tong Zhang

NeurIPSW 2023 A Unified Analysis of Label Inference Attacks Andres Munoz Medina, Travis Dick, Claudio Gentile, Robert Istvan Busa-Fekete, Marika Swanberg

NeurIPS 2023 Easy Learning from Label Proportions Róbert Busa-Fekete, Heejin Choi, Travis Dick, Claudio Gentile, Andres Munoz Medina

AISTATS 2022 Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback Anirban Santara, Gaurav Aggarwal, Shuai Li, Claudio Gentile

ICML 2022 Achieving Minimax Rates in Pool-Based Batch Active Learning Claudio Gentile, Zhilei Wang, Tong Zhang

NeurIPS 2022 Best of Both Worlds Model Selection Aldo Pacchiano, Christoph Dann, Claudio Gentile

JMLR 2022 Nonstochastic Bandits with Composite Anonymous Feedback Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Claudio Gentile, Yishay Mansour

NeurIPS 2022 Regret Bounds for Multilabel Classification in Sparse Label Regimes Róbert Busa-Fekete, Heejin Choi, Krzysztof J. Dembczynski, Claudio Gentile, Henry Reeve, Balazs Szorenyi

NeurIPS 2021 Batch Active Learning at Scale Gui Citovsky, Giulia DeSalvo, Claudio Gentile, Lazaros Karydas, Anand Rajagopalan, Afshin Rostamizadeh, Sanjiv Kumar

ICML 2021 Best Model Identification: A Rested Bandit Formulation Leonardo Cella, Massimiliano Pontil, Claudio Gentile

ICML 2021 Dynamic Balancing for Model Selection in Bandits and RL Ashok Cutkosky, Christoph Dann, Abhimanyu Das, Claudio Gentile, Aldo Pacchiano, Manish Purohit

ICML 2021 Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees Anand Rajagopalan, Fabio Vitale, Danny Vainstein, Gui Citovsky, Cecilia M Procopiuc, Claudio Gentile

NeurIPS 2021 Neural Active Learning with Performance Guarantees Zhilei Wang, Pranjal Awasthi, Christoph Dann, Ayush Sekhari, Claudio Gentile

NeurIPS 2021 Online Active Learning with Surrogate Loss Functions Giulia DeSalvo, Claudio Gentile, Tobias Sommer Thune

NeurIPS 2020 Adapting to Misspecification in Contextual Bandits Dylan J Foster, Claudio Gentile, Mehryar Mohri, Julian Zimmert

ICML 2020 Adaptive Region-Based Active Learning Corinna Cortes, Giulia Desalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang

ICML 2020 Online Learning with Dependent Stochastic Feedback Graphs Corinna Cortes, Giulia Desalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang

ICML 2019 Active Learning with Disagreement Graphs Corinna Cortes, Giulia Desalvo, Mehryar Mohri, Ningshan Zhang, Claudio Gentile

JMLR 2019 Delay and Cooperation in Nonstochastic Bandits Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour

NeurIPS 2019 Flattening a Hierarchical Clustering Through Active Learning Fabio Vitale, Anand Rajagopalan, Claudio Gentile

ICML 2019 Online Learning with Sleeping Experts and Feedback Graphs Corinna Cortes, Giulia Desalvo, Claudio Gentile, Mehryar Mohri, Scott Yang

AISTATS 2019 Region-Based Active Learning Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang

COLT 2018 Nonstochastic Bandits with Composite Anonymous Feedback Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour

ALT 2018 On Similarity Prediction and Pairwise Clustering Stephen Pasteris, Fabio Vitale, Claudio Gentile, Mark Herbster

ICML 2018 Online Learning with Abstention Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang

NeurIPS 2018 Online Reciprocal Recommendation with Theoretical Performance Guarantees Fabio Vitale, Nikos Parotsidis, Claudio Gentile

COLT 2017 Algorithmic Chaining and the Role of Partial Feedback in Online Nonparametric Learning Nicolò Cesa-Bianchi, Pierre Gaillard, Claudio Gentile, Sébastien Gerchinovitz

NeurIPS 2017 Boltzmann Exploration Done Right Nicolò Cesa-Bianchi, Claudio Gentile, Gabor Lugosi, Gergely Neu

ICML 2017 On Context-Dependent Clustering of Bandits Claudio Gentile, Shuai Li, Purushottam Kar, Alexandros Karatzoglou, Giovanni Zappella, Evans Etrue

AISTATS 2017 On the Troll-Trust Model for Edge Sign Prediction in Social Networks Géraud Le Falher, Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale

COLT 2016 Delay and Cooperation in Nonstochastic Bandits Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour, Alberto Minora

ALT 2015 Algorithmic Learning Theory - 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings Kamalika Chaudhuri, Claudio Gentile, Sandra Zilles

JMLR 2014 On Multilabel Classification and Ranking with Bandit Feedback Claudio Gentile, Francesco Orabona

ICML 2014 Online Clustering of Bandits Claudio Gentile, Shuai Li, Giovanni Zappella

NeurIPS 2013 A Gang of Bandits Nicolò Cesa-Bianchi, Claudio Gentile, Giovanni Zappella

NeurIPS 2013 From Bandits to Experts: A Tale of Domination and Independence Noga Alon, Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour

MLJ 2013 Multiclass Classification with Bandit Feedback Using Adaptive Regularization Koby Crammer, Claudio Gentile

COLT 2013 Online Similarity Prediction of Networked Data from Known and Unknown Graphs Claudio Gentile, Mark Herbster, Stephen Pasteris

JMLR 2013 Random Spanning Trees and the Prediction of Weighted Graphs Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella

COLT 2013 Regret Minimization for Branching Experts Eyal Gofer, Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour

COLT 2012 A Correlation Clustering Approach to Link Classification in Signed Networks Nicoló Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella

NeurIPS 2012 A Linear Time Active Learning Algorithm for Link Classification Nicolò Cesa-bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella

AISTATS 2012 Beyond Logarithmic Bounds in Online Learning Francesco Orabona, Nicolo Cesa-Bianchi, Claudio Gentile

NeurIPS 2012 On Multilabel Classification and Ranking with Partial Feedback Claudio Gentile, Francesco Orabona

JMLR 2012 Selective Sampling and Active Learning from Single and Multiple Teachers Ofer Dekel, Claudio Gentile, Karthik Sridharan

MLJ 2011 Learning Noisy Linear Classifiers via Adaptive and Selective Sampling Giovanni Cavallanti, Nicolò Cesa-Bianchi, Claudio Gentile

ICML 2011 Multiclass Classification with Bandit Feedback Using Adaptive Regularization Koby Crammer, Claudio Gentile

NeurIPS 2011 See the Tree Through the Lines: The Shazoo Algorithm Fabio Vitale, Nicolò Cesa-bianchi, Claudio Gentile, Giovanni Zappella

COLT 2010 Active Learning on Trees and Graphs Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella

JMLR 2010 Linear Algorithms for Online Multitask Classification Giovanni Cavallanti, Nicoló Cesa-Bianchi, Claudio Gentile

ICML 2010 Random Spanning Trees and the Prediction of Weighted Graphs Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale, Giovanni Zappella

COLT 2010 Robust Selective Sampling from Single and Multiple Teachers Ofer Dekel, Claudio Gentile, Karthik Sridharan

COLT 2009 Fast and Optimal Prediction on a Labeled Tree Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale

ALT 2009 Learning Unknown Graphs Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale

ICML 2009 Robust Bounds for Classification via Selective Sampling Nicolò Cesa-Bianchi, Claudio Gentile, Francesco Orabona

MLJ 2008 Guest Editors' Introduction: Special Issue on Learning Theory (COLT-2007) Nader H. Bshouty, Claudio Gentile

COLT 2008 Linear Algorithms for Online Multitask Classification Giovanni Cavallanti, Nicolò Cesa-Bianchi, Claudio Gentile

NeurIPS 2008 Linear Classification and Selective Sampling Under Low Noise Conditions Giovanni Cavallanti, Nicolò Cesa-bianchi, Claudio Gentile

COLT 2007 Learning Theory, 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007, Proceedings Nader H. Bshouty, Claudio Gentile

NeurIPS 2007 On Higher-Order Perceptron Algorithms Claudio Gentile, Fabio Vitale, Cristian Brotto

MLJ 2007 Tracking the Best Hyperplane with a Simple Budget Perceptron Giovanni Cavallanti, Nicolò Cesa-Bianchi, Claudio Gentile

ICML 2006 Hierarchical Classification: Combining Bayes with SVM Nicolò Cesa-Bianchi, Claudio Gentile, Luca Zaniboni

JMLR 2006 Incremental Algorithms for Hierarchical Classification Nicoló Cesa-Bianchi, Claudio Gentile, Luca Zaniboni

COLT 2006 Tracking the Best Hyperplane with a Simple Budget Perceptron Nicolò Cesa-Bianchi, Claudio Gentile

JMLR 2006 Worst-Case Analysis of Selective Sampling for Linear Classification Nicoló Cesa-Bianchi, Claudio Gentile, Luca Zaniboni

NeurIPS 2005 Improved Risk Tail Bounds for On-Line Algorithms Nicolò Cesa-bianchi, Claudio Gentile

NeurIPS 2004 Incremental Algorithms for Hierarchical Classification Nicolò Cesa-bianchi, Claudio Gentile, Andrea Tironi, Luca Zaniboni

COLT 2004 Regret Bounds for Hierarchical Classification with Linear-Threshold Functions Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile

NeurIPS 2004 Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms Nicolò Cesa-bianchi, Claudio Gentile, Luca Zaniboni

NeurIPS 2003 Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms Claudio Gentile

MLJ 2003 Guest Editor's Introduction Claudio Gentile

COLT 2003 Learning Probabilistic Linear-Threshold Classifiers via Selective Sampling Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile

MLJ 2003 The Robustness of the P-Norm Algorithms Claudio Gentile

COLT 2002 A Second-Order Perceptron Algorithm Nicolò Cesa-Bianchi, Alex Conconi, Claudio Gentile

NeurIPS 2002 Margin-Based Algorithms for Information Filtering Nicolò Cesa-bianchi, Alex Conconi, Claudio Gentile

JMLR 2001 A New Approximate Maximal Margin Classification Algorithm (Kernel Machines Section) Claudio Gentile

NeurIPS 2001 On the Generalization Ability of On-Line Learning Algorithms Nicolò Cesa-bianchi, Alex Conconi, Claudio Gentile

NeurIPS 2000 A New Approximate Maximal Margin Classification Algorithm Claudio Gentile

COLT 2000 Adaptive and Self-Confident On-Line Learning Algorithms Peter Auer, Claudio Gentile

COLT 1999 The Robustness of the P-Norm Algorithms Claudio Gentile, Nick Littlestone

COLT 1998 Improved Lower Bounds for Learning from Noisy Examples: An Information-Theoretic Approach Claudio Gentile, David P. Helmbold

NeurIPS 1998 Linear Hinge Loss and Average Margin Claudio Gentile, Manfred K. Warmuth