Tight Bounds for Jensen's Gap with Applications to Variational Inference.
Marcin Mazur|Tadeusz Dziarmaga|Piotr Koscielniak|Lukasz Struski
| Anthology ID: | DBLP:conf/cikm/MazurDKS25 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2074-2083 |
| URL: | https://doi.org/10.1145/3746252.3761065 |
| DOI: | https://doi.org/10.1145/3746252.3761065 |
| DBLP: | conf/cikm/MazurDKS25 |
| BibTeX: |
@inproceedings{mazur-2025-tight,
author = {Marcin Mazur and
Tadeusz Dziarmaga and
Piotr Koscielniak and
Lukasz Struski},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{Tight Bounds for Jensen's Gap with Applications to Variational Inference}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {2074--2083},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761065},
doi = {https://doi.org/10.1145/3746252.3761065}
}