Kernel density estimation techniques and their applications in ML
Event details
| Date | 05.07.2024 |
| Hour | 14:00 › 16:00 |
| Speaker | Ekaterina Kochetkova |
| Location | |
| Category | Conferences - Seminars |
EDIC candidacy exam
Exam president: Prof. Mika Göös
Thesis advisor: Prof. Michael Kapralov
Co-examiner: Prof. Ola Svensson
Abstract
Background papers
Exam president: Prof. Mika Göös
Thesis advisor: Prof. Michael Kapralov
Co-examiner: Prof. Ola Svensson
Abstract
Background papers
- Janardhan Kulkarni, Victor Reis, Thomas Rothvoss. "Optimal Online Discrepancy Minimization." https://arxiv.org/pdf/2308.01406
- Moses Charikar, Beidi Chen, Christopher Re, Erik Waingarten. "Fast Algorithms for a New Relaxation of Optimal Transport". Proceedings of Machine Learning Research vol 195:1–32, 2023. https://proceedings.mlr.press/v195/charikar23a/charikar23a.pdf
- Josh Alman, Zhao Song. "Fast Attention Requires Bounded Entries". 37th Conference on Neural Information Processing Systems (NeurIPS 2023). https://proceedings.neurips.cc/paper_files/paper/2023/file/c72861451d6fa9dfa64831102b9bb71a-Paper-Conference.pdf
Practical information
- General public
- Free