1. Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD)

   • Qi Qian
   • Rong Jin
   • Shenghuo Zhu

   OriginalPaper 09 July 2014 Pages: 353 - 372

   

2. Asymptotic analysis of estimators on multi-label data

   • Andreas P. Streich
   • Joachim M. Buhmann

   OriginalPaper Open access 09 July 2014 Pages: 373 - 409

   

3. A generalized online mirror descent with applications to classification and regression

   • Francesco Orabona
   • Koby Crammer
   • Nicolò Cesa-Bianchi

   OriginalPaper 25 December 2014 Pages: 411 - 435

   

4. Expectation propagation in linear regression models with spike-and-slab priors

   • José Miguel Hernández-Lobato
   • Daniel Hernández-Lobato
   • Alberto Suárez

   OriginalPaper 10 December 2014 Pages: 437 - 487

   

5. Operator-valued kernel-based vector autoregressive models for network inference

   • Néhémy Lim
   • Florence d’Alché-Buc
   • George Michailidis

   OriginalPaper 17 December 2014 Pages: 489 - 513