Recent Developments in Linear Regression
Event details
| Date | 12.12.2017 |
| Hour | 16:15 |
| Speaker | Prof. Martin Jaeggi (EPFL, IC, INFCOM, MLO) |
| Location | |
| Category | Conferences - Seminars |
We will overview some recent advances in optimization algorithms used for the training of generalized linear models (regression, classification). While in machine learning, the main work-horse algorithm is stochastic gradient descent, its lesser known cousin, coordinate descent, also has a lot of interesting properties. After a brief introduction, we will discuss distributed algorithm variants as well as faster convergence by means of (constant or adaptive) importance sampling.
Links
Practical information
- Informed public
- Free
Organizer
- Prof. Daniel Kressner
Contact
- Prof. Daniel Kressner