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TheoretiCS, Volume 3
Volume 3, 2024
- Ilan Newman, Nithin Varma:
Strongly Sublinear Algorithms for Testing Pattern Freeness. - Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan:
Realizable Learning is All You Need. - Lijie Chen, Ce Jin, Rahul Santhanam, Ryan Williams:
Constructive Separations and Their Consequences. - Vincent Cheval, Steve Kremer, Itsaka Rakotonirina:
DeepSec: Deciding Equivalence Properties for Security Protocols - Improved theory and practice. - Dominik Scheder:
PPSZ is better than you think. - Yeshwanth Cherapanamjeri, Jelani Nelson:
Terminal Embeddings in Sublinear Time. - Costin Badescu, Ryan O'Donnell:
Improved quantum data analysis.
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