| This is all about learning when the learning algorithm has some interaction with the environment. |
| Reductions from one learning problem to another create meta-algorithms reusing old algorithms. This method can be analyzed without assumptions and often yields superior performance. |
| This is all about how to compress very large learning algorithms into much smaller space than you might have believed possible using a hashing trick. |
| A cover tree is a datastructure for fast general proximity queries with both theoretical guarantees and state-of-the-art practical performance. |
| How can you measure prediction ability? I created refined general bounds with applications for learning measurement and benchmark design. |
| Captchas block machines (but not humans) from data and create concrete challenges for AI and learning. |
| Isomap is an algorithm for extracting low dimensional manifolds from points in a high dimensional space. |
More