Peter L. Bartlett is affiliated with the University of California, Berkeley in the United States. Their work primarily focuses on computer science, with significant contributions to artificial intelligence, statistics and probability, management science and operations research, computational mechanics, and computer vision and pattern recognition.
The main subjects of their research encompass stochastic gradient optimization techniques, advanced bandit algorithms research, machine learning and algorithms, statistical methods and inference, sparse and compressive sensing techniques, reinforcement learning in robotics, and domain adaptation and few-shot learning.
Frequent coauthors include Michael I. Jordan, Aldo Pacchiano, Philip M. Long, Niladri S. Chatterji, and Martin J. Wainwright, with collaborations spanning multiple publications.
The scientist has published extensively, with key publication venues including arXiv (Cornell University), Bernoulli, Proceedings of the National Academy of Sciences, Acta Numerica, and the Journal of the American Statistical Association.
Peter L. Bartlett received the ACM Fellow award in 2018 for contributions to the theory of machine learning.
Bernhard Schölkopf;Alex J. Smola;Robert C. Williamson;Peter L. Bartlett
Robert E. Schapire;Yoav Freund;Peter Bartlett;Wee Sun Lee
Peter L. Bartlett;Shahar Mendelson
Gert R. G. Lanckriet;Nello Cristianini;Peter Bartlett;Laurent El Ghaoui
Martin Anthony;Peter L. Bartlett
P.L. Bartlett
Peter L Bartlett;Michael I Jordan;Jon D McAuliffe
Llew Mason;Jonathan Baxter;Peter Bartlett;Marcus Frean
Alexander J. Smola;Peter J. Bartlett
Jonathan Baxter;Peter L. Bartlett
Llew Mason;Jonathan Baxter;Peter L. Bartlett;Marcus R. Frean
Peter L. Bartlett;Olivier Bousquet;Shahar Mendelson
Alexander J. Smola;Peter Bartlett;Bernhard Schölkopf;Dale Schuurmans
J. Shawe-Taylor;P.L. Bartlett;R.C. Williamson;M. Anthony
Peter L. Bartlett;Peter L. Bartlett;Dylan J. Foster;Matus Jan Telgarsky
Dong Yin;Yudong Chen;Kannan Ramchandran;Peter L. Bartlett
Yan Duan;John Schulman;Xi Chen;Peter L. Bartlett
Peter L. Bartlett;Philip M. Long;Gábor Lugosi;Alexander Tsigler
Peter L. Bartlett;Stéphane Boucheron;Gábor Lugosi
Evan Greensmith;Peter L. Bartlett;Jonathan Baxter
If you think any of the details on this page are incorrect, let us know.
Exploring online education offers flexibility for students interested in computer science and related fields. For those just starting, pursuing one of the easy online associate degrees can be a smart first step, allowing you to gain foundational knowledge and quickly enter the workforce.
Budget is a key concern for many students. To minimize expenses while maximizing quality, it's important to look into the cheapest online edd programs. This can be a great path for those seeking advanced leadership roles in technology and education fields.
Choosing the right institution is equally crucial. Many students consider enrolling in the most popular online colleges for wider recognition and better networking opportunities.
If your interests lie at the intersection of technology and creativity, you might pursue a game art degree online, tapping into the fast-growing video game industry.
With so many versatile online options, students can tailor their educational journey to fit their career goals and lifestyles.
Soochow University
Stanford University
United States Naval Research Laboratory
Genentech
University of Copenhagen
University of Göttingen
Duke University
Chinese Academy of Sciences
University of Extremadura
Cornell University
Kyoto University
École Normale Supérieure
Centers for Disease Control and Prevention
Karolinska Institute
University of Clermont Auvergne
University of Central Lancashire
