Understanding Connections Between Pseudorandomness And Machine Learning
Exploring Connections Between Pseudorandomness And Machine Learning reveals several interesting facts. Russell Impagliazzo (UC San Diego) Simons Institute 10th Anniversary Symposium.
Key Takeaways about Connections Between Pseudorandomness And Machine Learning
- Omer Reingold, Stanford University https://simons.berkeley.edu/talks/omer-reingold-2017-03-06 Proving and Using ...
- Explicit SoS lower bounds from high-dimensional expanders Irit Dinur (Weizmann Institute of Science), Yuval Filmus (Technion), ...
- Luca Trevisan, UC Berkeley https://simons.berkeley.edu/talks/fundamental-techniques-in-
- An important theme in theoretical computer science over the last decade has been the usefulness of translating a combinatorial ...
- Rachel (Huijia) Lin (University of Washington) ...
Detailed Analysis of Connections Between Pseudorandomness And Machine Learning
Authors: Shuichi Hirahara (National Institute of Informatics); Mikito Nanashima (Tokyo Institute of Technology) ITCS - Innovations ... Valentine Kabanets (Simon Fraser University) https://simons.berkeley.edu/talks/power-distinguishing-simple-random-part-i ... Mikito Nanashima (Tokyo Institute of Technology) ...
Ronen Shaltiel, University of Haifa https://simons.berkeley.edu/talks/ronen-shaltiel-02-02-2017 Expanders and Extractors.
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