2020/9/28 16:52
要旨
This is an online event.
Title: A primer on PAC-Bayesian learning, and some application
Speaker: Benjamin Guedj (https://bguedj.github.io/)
Abstract: PAC-Bayes is a generic and flexible framework to address generalisation abilities of machine learning algorithms. It leverages the power of Bayesian inference and allows to derive new learning strategies. I will briefly present the key concepts of PAC-Bayes and illustrate a few of its recent successes (including generalisation guarantees for deep neural networks).
Join Zoom Meeting
https://zoom.us/j/93586834989?pwd=SElRMUNzdzUwZHV2L2VBYWR0VVBBZz09
Meeting ID: 935 8683 4989
Passcode: 332554
詳細情報
| 日時 | 2020/10/02(金) 17:00 - 18:30 |
| URL | https://c5dc59ed978213830355fc8978.doorkeeper.jp/events/112269 |
