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Sanjeev Arora Plenary talk at International Congress of Mathematicians 2018. "The Mathematics of Machine Learning and Deep Learning." Presentation slides. Click here Accompanying expository article that appeared in the ICM proceedings.
Sanjeev Arora and Boaz Barak Princeton University complexitybook@gmail.com Not to be reproduced or distributed without the authors’ permission This is an Internet draft. Some chapters are more finished than others. References and attributions are very preliminary and we apologize in advance for any omissions (but hope you
Sanjeev Arora. Ph.D. Thesis, UC Berkeley, 1994. This thesis was a cowinner of the ACM Doctoral Dissertation award, 1995. [ Postscript ] [ pdf] Around the PCP Theorem: Six Lectures. Sanjeev Arora. (From McGill Workshop on Complexity Theory, Barbados, 1996. Most lectures are not about the PCP Theorem.)
Sanjeev Arora. Department of Computer Science, Princeton University, Princeton, NJ. July 2023 ICML'23: Proceedings of the 40th International Conference on Machine ...
Sanjeev Arora. Sanjeev Arora ( Jodhpur, Rayastán, enero de 1968) es un informático teórico, más conocido por su trabajo en la clase de los problemas PCP ( probabilistically checkable proofs ), y en particular, en el teorema PCP. Actualmente se desempeña como profesor en ciencias de la computación en la Universidad de Princeton, y su ...
Sanjeev Arora and Boaz Barak. Cambridge University Press. This is a textbook on computational complexity theory. It is intended as a text for an advanced undergraduate course or introductory graduate course, or as a reference for researchers and students in computer science and allied fields such as mathematics and physics.
Sanjeev Arora. Professor of Computer Science, Princeton University. 在 cs.princeton.edu 的电子邮件经过验证 - 首页. theoretical machine learning theoretical computer science. 标题. 排序. 按引用次数排序 按年份排序 按标题排序. 引用次数.
