← Authors

Claudio Gentile

53 papers · 2001–2025 · 6 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (8) πŸƒ Academic Marathon (24) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (6) πŸ—ΊοΈ Taxonomy Completionist (27) 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (18) πŸ† Keyword Champion (3) πŸ”¬ Deep Specialist (10) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (111) πŸ”₯ Unstoppable (10) ⚑ Prolific Year (6) πŸ’Ž Century Club (53)

Conferences

NIPS (18) ICML (12) JMLR (10) COLT (6) AISTATS (5) ALT (2)

Top co-authors

NicolΓ² Cesa-bianchi (18) Fabio Vitale (11) Giulia DeSalvo (8) Mehryar Mohri (7) Giovanni Zappella (7) Yishay Mansour (6) Corinna Cortes (6) Ningshan Zhang (4) Francesco Orabona (3) Anand Rajagopalan (3)

Research topics

Differential Privacy (1) Privacy (1)

Keywords

regret bound (20) online learning (19) multi-armed bandit (14) active learning (10) online algorithm (6) contextual bandit (6) label complexity (5) perceptron algorithm (4) selective sampling (3) generalization error (3) feedback graph (3) model selection (3) mistake bound (3) batch active learning (3) collaborative filtering (3) recommender system (3) margin maximization (2) adversarial learning (2) binary classification (2) sequential decision (2)

Papers

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