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Claudio Gentile – Google Research
https://research.google/people/106399/
Claudio Gentile About I am currently a Research Scientist at Google NY. I have been PC Chair or Area Chair of several conferences in the field of Machine Learning/Artificial Intelligence (e.g., COLT, ALT, NIPS, ICML, IJCAI).
Claudio Gentile - Google Scholar
https://scholar.google.com/citations?user=0SiZNDEAAAAJ
Claudio Gentile. Google Research, New York, USA. Verified email at google.com - Homepage. Online Learning Learning Theory Machine Learning Theoretical Computer Science. Articles Cited by Public access Co-authors. Title. Sort. Sort by citations Sort by year Sort by title.
Claudio Gentile - DeepAI
https://deepai.org/profile/claudio-gentile
Read Claudio Gentile's latest research, browse their coauthor's research, and play around with their algorithms. ... Inferring Turbulent Parameters via Machine Learning. 01/03/2022 ∙ by Michele Buzzicotti ∙ 182 Semantic Feature Extraction for Generalized Zero-shot Learning.
Claudio Gentile - Research Scientist - Google | LinkedIn
https://www.linkedin.com/in/claudio-gentile
View Claudio Gentile’s profile on LinkedIn, the world’s largest professional community. Claudio has 5 jobs listed on their profile. ... I'm doing research in Machine Learning. To get an idea ...
CiteSeerX — Journal of Machine Learning Research ...
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.4311
BibTeX @MISC{Gentile_journalof, author = {Claudio Gentile and Francesco Orabona}, title = {Journal of Machine Learning Research Submitted; Published On Multilabel Classification and Ranking with Partial Feedback}, year = {}}
Online Clustering of Bandits - Proceedings of Machine ...
http://proceedings.mlr.press/v32/gentile14.html
Claudio Gentile, Shuai Li, Giovanni Zappella Proceedings of the 31st International Conference on Machine Learning , PMLR 32 (2):757-765, 2014. Abstract We introduce a novel algorithmic approach to content recommendation based on adaptive clustering of exploration-exploitation (“bandit") strategies.
Best Model Identification: A Rested Bandit Formulation
http://proceedings.mlr.press/v139/cella21a.html
@InProceedings{pmlr-v139-cella21a, title = {Best Model Identification: A Rested Bandit Formulation}, author = {Cella, Leonardo and Pontil, Massimiliano and Gentile, Claudio}, booktitle = {Proceedings of the 38th International Conference on Machine Learning}, pages = {1362--1372}, year = {2021}, editor = {Meila, Marina and Zhang, Tong}, volume = {139}, series = …
Active Learning with Disagreement Graphs
http://proceedings.mlr.press/v97/cortes19b.html
%0 Conference Paper %T Active Learning with Disagreement Graphs %A Corinna Cortes %A Giulia Desalvo %A Mehryar Mohri %A Ningshan Zhang %A Claudio Gentile %B Proceedings of the 36th International Conference on Machine Learning %C Proceedings of Machine Learning Research %D 2019 %E Kamalika Chaudhuri %E Ruslan Salakhutdinov %F …
Dynamic Balancing for Model Selection in Bandits and RL
https://proceedings.mlr.press/v139/cutkosky21a.html
%0 Conference Paper %T Dynamic Balancing for Model Selection in Bandits and RL %A Ashok Cutkosky %A Christoph Dann %A Abhimanyu Das %A Claudio Gentile %A Aldo Pacchiano %A Manish Purohit %B Proceedings of the 38th International Conference on Machine Learning %C Proceedings of Machine Learning Research %D 2021 %E Marina Meila %E Tong …
Foundations of Machine Learning, Second Edition | The …
https://mitpress.mit.edu/books/foundations-machine-learning-second-edition
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed …
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