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:
Frequent co-authors in their research collaborations include:
Notable venues where Nicolò Cesa-Bianchi has frequently published are:
S. Bengio;H.M. Wallach;H. Larochelle;K. Grauman
Peter Auer;Nicolò Cesa-Bianchi;Paul Fischer
Nicolo Cesa-Bianchi;Gabor Lugosi
Sébastien Bubeck;Nicolò Cesa-Bianchi
Peter Auer;Nicolò Cesa-Bianchi;Yoav Freund;Robert E. Schapire
P. Auer;N. Cesa-Bianchi;Y. Freund;R. Schapire
Nicolò Cesa-Bianchi;Yoav Freund;David Haussler;David P. Helmbold
N. Cesa-Bianchi;A. Conconi;C. Gentile
Noga Alon;Shai Ben-David;Nicolò Cesa-Bianchi;David Haussler
Nicolò Cesa-Bianchi;GáBor Lugosi
Nicolò Cesa-Bianchi;Claudio Gentile;Yishay Mansour
Peter Auer;Nicolò Cesa-Bianchi;Claudio Gentile
Nicolò Cesa-Bianchi;Claudio Gentile;Luca Zaniboni
Nicolò Cesa-Bianchi;Alex Conconi;Claudio Gentile
Nicolò Cesa-Bianchi;Yishay Mansour;Gilles Stoltz
Sebastien Bubeck;Nicolo Cesa-Bianchi;Gabor Lugosi
Nicolò Cesa-Bianchi;Claudio Gentile;Luca Zaniboni
N. Cesa-Bianchi;P.M. Long;M.K. Warmuth
Giovanni Cavallanti;Nicolò Cesa-Bianchi;Claudio Gentile
Nicolò Cesa-Bianchi;Yoav Freund;David P. Helmbold;David Haussler
Nicolò Cesa-bianchi;Claudio Gentile;Andrea Tironi;Luca Zaniboni
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA opens doors to various related degrees and career opportunities, especially online. Many students look for short careers that pay well to minimize time in school while maximizing potential earnings. Technology-driven fields, especially those in computer science and IT, often offer high salaries after fast-tracked pathways.
For learners interested in future-focused specialties, ai degree programs provide affordable options to gain expertise in one of the fastest-growing industries. These programs are designed for flexibility and can be a great way to enter cutting-edge fields.
Unsure which path to pursue? Check out the best degree to get for career stability and growth. Technology, data science, and engineering remain at the top of the list for job prospects and employer demand in the US.
If advancing your education is your goal, consider easy masters programs that allow you to upskill quickly without overwhelming coursework. Master’s credentials can open up leadership and specialized roles, even when completed online and at your own pace.
French Institute for Research in Computer Science and Automation - INRIA
Publications: 77
Kumamoto University
Statens Serum Institut
University of Haifa
University of Maryland, College Park
National Institute for Astrophysics
Columbia University
The University of Texas at Austin
United States Geological Survey
University of California, Berkeley
Courant Institute of Mathematical Sciences
National Institute of Technology Durgapur
Tianjin University
Leiden University
University of Copenhagen
University of Liverpool
University of California, Riverside