Claudio Gentile

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