Name
Abstract | ||
|---|---|---|
We introduce a new model of interactive learning in which an expert examines the predictions of a learner and partially fixes them if they are wrong. Although this kind of feedback is not i.i.d., we show statistical generalization bounds on the quality of the learned model. |
Year | Venue | Field |
|---|---|---|
2017 | arXiv: Learning | Interactive Learning,Artificial intelligence,Machine learning,Mathematics |
DocType | Volume | Citations |
Journal | abs/1705.08076 | 0 |
PageRank | References | Authors |
0.34 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sanjoy Dasgupta | 1 | 2052 | 172.00 |
| Michael Luby | 2 | 9010 | 1319.35 |