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Nicolò Cesa-Bianchi

Nicolò Cesa-Bianchi

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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
60
Citations
48140
World Ranking
3147
National Ranking
60

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Nicolò Cesa-Bianchi is affiliated with the University of Milan in Italy and has contributed extensively to research in computer science and decision sciences. Their work primarily spans subfields such as management science and operations research, artificial intelligence, computer networks and communications, electrical and electronic engineering, and economics and econometrics.

Their publications cover a variety of topics, with significant focus on advanced bandit algorithms research, machine learning and algorithms, auction theory and applications, optimization and search problems, game theory and applications, smart grid energy management, and data stream mining techniques.

Some of the recent papers by Nicolò Cesa-Bianchi include the following:

  • Online Learning Algorithms (2020, Annual Review of Statistics and Its Application)
  • Nonstochastic Bandits with Composite Anonymous Feedback (2021, arXiv (Cornell University))
  • Bilateral Trade: A Regret Minimization Perspective (2023, Mathematics of Operations Research)
  • Repeated Bilateral Trade Against a Smoothed Adversary (2023, arXiv (Cornell University))

Frequent co-authors in their research collaborations include:

  • Tommaso Cesari
  • Roberto Colomboni
  • Dirk van der Hoeven
  • Federico Fusco
  • Emmanuel Esposito

Notable venues where Nicolò Cesa-Bianchi has frequently published are:

  • arXiv (Cornell University)
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • SSRN Electronic Journal
  • Annual Review of Statistics and Its Application
  • Mathematics of Operations Research

Best Publications

  • Advances in Neural Information Processing Systems 31

    S. Bengio;H.M. Wallach;H. Larochelle;K. Grauman

  • Finite-time Analysis of the Multiarmed Bandit Problem

    Peter Auer;Nicolò Cesa-Bianchi;Paul Fischer

  • Prediction, learning, and games

    Nicolo Cesa-Bianchi;Gabor Lugosi

  • Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems

    Sébastien Bubeck;Nicolò Cesa-Bianchi

  • The Nonstochastic Multiarmed Bandit Problem

    Peter Auer;Nicolò Cesa-Bianchi;Yoav Freund;Robert E. Schapire

  • Gambling in a rigged casino: The adversarial multi-armed bandit problem

    P. Auer;N. Cesa-Bianchi;Y. Freund;R. Schapire

  • How to use expert advice

    Nicolò Cesa-Bianchi;Yoav Freund;David Haussler;David P. Helmbold

  • On the generalization ability of on-line learning algorithms

    N. Cesa-Bianchi;A. Conconi;C. Gentile

  • Scale-sensitive dimensions, uniform convergence, and learnability

    Noga Alon;Shai Ben-David;Nicolò Cesa-Bianchi;David Haussler

  • Combinatorial bandits

    Nicolò Cesa-Bianchi;GáBor Lugosi

  • Regret Minimization for Reserve Prices in Second-Price Auctions

    Nicolò Cesa-Bianchi;Claudio Gentile;Yishay Mansour

  • Adaptive and self-confident on-line learning algorithms

    Peter Auer;Nicolò Cesa-Bianchi;Claudio Gentile

  • Incremental Algorithms for Hierarchical Classification

    Nicolò Cesa-Bianchi;Claudio Gentile;Luca Zaniboni

  • A Second-Order Perceptron Algorithm

    Nicolò Cesa-Bianchi;Alex Conconi;Claudio Gentile

  • Improved second-order bounds for prediction with expert advice

    Nicolò Cesa-Bianchi;Yishay Mansour;Gilles Stoltz

  • Bandits With Heavy Tail

    Sebastien Bubeck;Nicolo Cesa-Bianchi;Gabor Lugosi

  • Hierarchical classification: combining Bayes with SVM

    Nicolò Cesa-Bianchi;Claudio Gentile;Luca Zaniboni

  • Worst-case quadratic loss bounds for prediction using linear functions and gradient descent

    N. Cesa-Bianchi;P.M. Long;M.K. Warmuth

  • Linear Algorithms for Online Multitask Classification

    Giovanni Cavallanti;Nicolò Cesa-Bianchi;Claudio Gentile

  • How to use expert advice

    Nicolò Cesa-Bianchi;Yoav Freund;David P. Helmbold;David Haussler

  • Incremental Algorithms for Hierarchical Classification

    Nicolò Cesa-bianchi;Claudio Gentile;Andrea Tironi;Luca Zaniboni

Frequent Co-Authors

Claudio Gentile
Claudio Gentile Google (United States)
Gábor Lugosi
Gábor Lugosi Pompeu Fabra University
Yishay Mansour
Yishay Mansour Tel Aviv University
Ohad Shamir
Ohad Shamir Weizmann Institute of Science
Peter Auer
Peter Auer University of Leoben
John Shawe-Taylor
John Shawe-Taylor University College London
Noga Alon
Noga Alon Tel Aviv University
Francesco Orabona
Francesco Orabona King Abdullah University of Science and Technology
François Laviolette
François Laviolette Université Laval
Shai Shalev-Shwartz
Shai Shalev-Shwartz Hebrew University of Jerusalem

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