Claudio Gentile

Statistical Learning from Attribution Sets COLT 2026 Nearly Optimal Sample Complexity for Learning with Label Proportions ICML 2025 Adversarial Online Collaborative Filtering ALT 2024 Auditing Privacy Mechanisms via Label Inference Attacks NeurIPS 2024 Data-Driven Online Model Selection With Regret Guarantees AISTATS 2024 Fast Rates in Pool-Based Batch Active Learning JMLR 2024 Easy Learning from Label Proportions NeurIPS 2023 Achieving Minimax Rates in Pool-Based Batch Active Learning ICML 2022 Best of Both Worlds Model Selection NeurIPS 2022 Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback AISTATS 2022 Nonstochastic Bandits with Composite Anonymous Feedback JMLR 2022 Regret Bounds for Multilabel Classification in Sparse Label Regimes NeurIPS 2022 Batch Active Learning at Scale NeurIPS 2021 Best Model Identification: A Rested Bandit Formulation ICML 2021 Dynamic Balancing for Model Selection in Bandits and RL ICML 2021 Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees ICML 2021 Neural Active Learning with Performance Guarantees NeurIPS 2021 Online Active Learning with Surrogate Loss Functions NeurIPS 2021 Adapting to Misspecification in Contextual Bandits NeurIPS 2020 Adaptive Region-Based Active Learning ICML 2020 Online Learning with Dependent Stochastic Feedback Graphs ICML 2020 Active Learning with Disagreement Graphs ICML 2019 Delay and Cooperation in Nonstochastic Bandits JMLR 2019 Flattening a Hierarchical Clustering through Active Learning NeurIPS 2019 Online Learning with Sleeping Experts and Feedback Graphs ICML 2019 Region-Based Active Learning AISTATS 2019 Nonstochastic Bandits with Composite Anonymous Feedback COLT 2018 Online Learning with Abstention ICML 2018 Online Reciprocal Recommendation with Theoretical Performance Guarantees NeurIPS 2018 On Similarity Prediction and Pairwise Clustering ALT 2018 Algorithmic Chaining and the Role of Partial Feedback in Online Nonparametric Learning COLT 2017 Boltzmann Exploration Done Right NeurIPS 2017 On Context-Dependent Clustering of Bandits ICML 2017 On the Troll-Trust Model for Edge Sign Prediction in Social Networks AISTATS 2017 Delay and Cooperation in Nonstochastic Bandits COLT 2016 Online Clustering of Bandits ICML 2014 On Multilabel Classification and Ranking with Bandit Feedback JMLR 2014 A Gang of Bandits NeurIPS 2013 From Bandits to Experts: A Tale of Domination and Independence NeurIPS 2013 Online Similarity Prediction of Networked Data from Known and Unknown Graphs COLT 2013 Random Spanning Trees and the Prediction of Weighted Graphs JMLR 2013 Regret Minimization for Branching Experts COLT 2013 A Correlation Clustering Approach to Link Classification in Signed Networks COLT 2012 A Linear Time Active Learning Algorithm for Link Classification NeurIPS 2012 Beyond Logarithmic Bounds in Online Learning AISTATS 2012 On Multilabel Classification and Ranking with Partial Feedback NeurIPS 2012 Selective Sampling and Active Learning from Single and Multiple Teachers JMLR 2012 See the Tree Through the Lines: The Shazoo Algorithm NeurIPS 2011 Linear Algorithms for Online Multitask Classification JMLR 2010 Linear Classification and Selective Sampling Under Low Noise Conditions NeurIPS 2008 On higher-order perceptron algorithms NeurIPS 2007 Incremental Algorithms for Hierarchical Classification JMLR 2006 Worst-Case Analysis of Selective Sampling for Linear Classification JMLR 2006 A New Approximate Maximal Margin Classification Algorithm JMLR 2001