Meir Feder is affiliated with Tel Aviv University in Israel and works in the field of computer science. Their research covers a range of specialized topics mostly within artificial intelligence and machine learning. The scientist has focused on areas including machine learning and algorithms, machine learning and data classification, advanced bandit algorithms research, adversarial robustness in machine learning, sparse and compressive sensing techniques, algorithms and data compression, and anomaly detection techniques and applications.
The body of work by Meir Feder includes publications in prominent venues such as arXiv (Cornell University), Entropy, IEEE Transactions on Information Theory, 2022 IEEE International Symposium on Information Theory (ISIT), and IEEE Journal on Selected Areas in Information Theory.
Frequent coauthors collaborating with Meir Feder include:
Notable recent papers by Meir Feder include:
M. Feder;E. Weinstein
R. Zamir;K. Feder
N. Merhav;M. Feder
Ronen Dar;Meir Feder;Antonio Mecozzi;Mark Shtaif
E. Weinstein;M. Feder;A.V. Oppenheim
M. Feder;N. Merhav;M. Gutman
M. Feder;N. Merhav
M.J. Weinberger;J.J. Rissanen;M. Feder
N. Sommer;M. Feder;O. Shalvi
Ronen Dar;Meir Feder;Antonio Mecozzi;Mark Shtaif
R. Zamir;M. Feder
E. Shusterman;M. Feder
Ronen Dar;Meir Feder;Antonio Mecozzi;Mark Shtaif
Meir Feder;Moshe Elbaz;Noam Eshkoli;Aviv Eisenberg
O Shayevitz;M Feder
Z. Reznic;M. Feder;R. Zamir
N. Shulman;M. Feder
E. Weinstein;A.V. Oppenheim;M. Feder;J.R. Buck
A.C. Singer;M. Feder
M. Feder;A. Lapidoth
A.V. Oppenheim;E. Weinstein;K.C. Zangi;M. Feder
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