Arsen Vasilyan
where else to find them
what they talk about
where they keep going back
no series more than once — all 3 in the filters
on a stage with
never shared a talk
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| Testing Noise Assumptions of Learning Algorithms | Joint IFML/MPG Symposium 2024 | 2024-11-19 |
Claims an efficient procedure that tests noise assumptions and either outputs a classifier with a certificate of optimality or rejects; extends RV23 testable… | ||
| Efficient Testable Agnostic Learning for Halfspaces | Meet the Fellows Welcome Event Fall 2024 | 2024-09-03 |
First efficient algorithm that is testable agnostic for learning halfspaces under Gaussian (or strongly log-concave) inputs, running in polynomial time and… | ||
| Testing Assumptions of Learning Algorithms | Sublinear Algorithms Boot Camp 2024 | 2024-05-21 |
Introduces a framework that testable agnostic learning actually either accepts and outputs a classifier with error ≤ OPT+ε or rejects, using a concrete… | ||
| nothing matches | ||