Papers
Multiple Texture Boltzmann Machines
Jyri Kivinen, Christopher Williams
Multiresolution Deep Belief Networks
Yichuan Tang, Abdel-Rahman Mohamed
No Internal Regret via Neighborhood Watch
Dean Foster, Alexander Rakhlin
Nonlinear low-dimensional regression using auxiliary coordinates
Weiran Wang, Miguel Carreira-Perpinan
Nonparametric Estimation of Conditional Information and Divergences
Barnabas Poczos, Jeff Schneider
On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap
Alexander Paprotny, Jochen Garcke
On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems
Yuri Grinberg, Doina Precup
On Bayesian Upper Confidence Bounds for Bandit Problems
Emilie Kaufmann, Olivier Cappe, Aurelien Garivier
On Bisubmodular Maximization
Ajit Singh, Andrew Guillory, Jeff Bilmes
On Estimation and Selection for Topic Models
Matt Taddy
Online Clustering of Processes
Azadeh Khaleghi, Daniil Ryabko, Jeremie Mary et al.
Online Clustering with Experts
Anna Choromanska, Claire Monteleoni
Online Incremental Feature Learning with Denoising Autoencoders
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits
Yasin Abbasi-Yadkori, David Pal, Csaba Szepesvari
On Nonparametric Guidance for Learning Autoencoder Representations
Jasper Snoek, Ryan Adams, Hugo Larochelle
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
David Buchman, Mark Schmidt, Shakir Mohamed et al.
Optimistic planning for Markov decision processes
Lucian Busoniu, Remi Munos
Part & Clamp: Efficient Structured Output Learning
Patrick Pletscher, Cheng Soon Ong
Perturbation based Large Margin Approach for Ranking
Eunho Yang, Ambuj Tewari, Pradeep Ravikumar
Primal-Dual methods for sparse constrained matrix completion
Yu Xin, Tommi Jaakkola
Protocols for Learning Classifiers on Distributed Data
Hal Daume III, Jeff Phillips, Avishek Saha et al.
Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs
Hyokun Yun, S V N Vishwanathan
Random Feature Maps for Dot Product Kernels
Purushottam Kar, Harish Karnick
Randomized Optimum Models for Structured Prediction
Daniel Tarlow, Ryan Adams, Richard Zemel