Following up on meetup #6 Season 2, John Langford just gave us a tutorial presentation on Vowpal Wabbit this morning in Paris (Thank you Christophe and AXA for hosting us). Here are the slides:
Here is some additional relevant background material.
- The wiki: https://github.com/
- The mailing list: https://groups.yahoo.com/neo/
- Learning to search framework: http://arxiv.org/abs/1406.1837
- Learning to search algorithm: http://arxiv.org/abs/1502.
- Learning reductions survey: http://arxiv.org/abs/1502.
- Learning to interact tutorial: http://hunch.net/~jl/interact.
- Most recent exciting paper: http://arxiv.org/abs/1402.0555
- Feature Hashing: http://arxiv.org/abs/0902.2206
- Terascale learning: http://arxiv.org/abs/1110.4198
- Many of the lectures in the large scale learning class with Yann @NYU: http://cilvr.cs.nyu.edu/doku.
- Hash Kernels, http://jmlr.org/proceedings/papers/v5/shi09a/shi09a.pdf
Much like the example Leon Bottou gave us on counterfactual reasoning, ( see his slides: Learning to Interact ) a year ago. I very much liked the exploration bit for policies evaluation: if you don't explore you just don't know and prediction errors are not controlled exploration.
which will be the subject of John's presentation at ICML in Lille next week:
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