The list of accepted papers for the Snowbird Learning Workshop is up. I'm interested to see:
- Training CRFs with SMD (Vishwanathan, Shraudolph, Schmidt + Murphy)
- Sub-gradient method structured learning (Bagnell, Ratliff + Zinkevich)
- AdaBoost is MaxEnt over the error distribution (Haffner)
- Structural correspondences for transfer learning (Blitzer, Crammer, McDonald + Pereira)
- Rule-extraction from SVMs (Braun + Buhmann)
- Prior beliefs in SSL (Luxburg + Ben-David)
- Model compression (Caruana, Bucila + Niculescu-Mizil)
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