![]() |
John LangfordDoctor of Learning at Microsoft Research{jl@hunch.net, jcl@microsoft.com} pgp key | ![]() |
Machine Learning (Theory) Weblog | Research | Conferences, Workshops, Seminars, Summer Schools | Classes | Resume |
Start Page | Yan | Essays | Linux | Designs | The Doghouse |
I am a technology maker, focusing on learning.
Interactive Learning | This is all about learning when the learning algorithm has some interaction with the environment. |
Reductions | 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. |
Hashing for Learning | 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. |
Cover Tree | A cover tree is a datastructure for fast general proximity queries with both theoretical guarantees and state-of-the-art practical performance. |
Tight Bounds | How can you measure prediction ability? I created refined general bounds with applications for learning measurement and benchmark design. |
CAPTCHAs | Captchas block machines (but not humans) from data and create concrete challenges for AI and learning. |
Isomap | Isomap is an algorithm for extracting low dimensional manifolds from points in a high dimensional space. |