Collaborative Estimation
Event details
| Date | 07.08.2023 |
| Hour | 10:00 › 12:00 |
| Speaker | Yunzhen Yao |
| Location | |
| Category | Conferences - Seminars |
EDIC candidacy exam
Exam president: Prof. Emre Telatar
Thesis advisor: Prof. Michael Gastpar
Co-examiner: Prof. Michael Kapralov
Abstract
coming soon
Background papers
1. Optimal Algorithms for Testing Closeness of Discrete Distributions. Chan, Diakonikolas, Valiant, and Valiant, SODA 2014 (https://arxiv.org/abs/1308.3946).
2. Which Distribution Distances are Sublinearly Testable? Daskalakis, Kamath, and Wright, SODA 2018 (https://arxiv.org/abs/1708.00002).
3. Alpha-NML Universal Predictors. Bondaschi and Gastpar, ISIT 2022 (https://arxiv.org/abs/2202.12737v2)
Exam president: Prof. Emre Telatar
Thesis advisor: Prof. Michael Gastpar
Co-examiner: Prof. Michael Kapralov
Abstract
coming soon
Background papers
1. Optimal Algorithms for Testing Closeness of Discrete Distributions. Chan, Diakonikolas, Valiant, and Valiant, SODA 2014 (https://arxiv.org/abs/1308.3946).
2. Which Distribution Distances are Sublinearly Testable? Daskalakis, Kamath, and Wright, SODA 2018 (https://arxiv.org/abs/1708.00002).
3. Alpha-NML Universal Predictors. Bondaschi and Gastpar, ISIT 2022 (https://arxiv.org/abs/2202.12737v2)
Practical information
- General public
- Free
Contact
- edic@epfl.ch