Papers
Convergence Rate Analysis of MAP Coordinate Minimization Algorithms
Ofer Meshi, Amir Globerson, Tommi S. Jaakkola
Graphical Gaussian Vector for Image Categorization
Tatsuya Harada, Yasuo Kuniyoshi
Clustering by Nonnegative Matrix Factorization Using Graph Random Walk
Zhirong Yang, Tele Hao, Onur Dikmen et al.
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models
Jeff Beck, Alexandre Pouget, Katherine A. Heller
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting
Amadou Ba, Mathieu Sinn, Yannig Goude et al.
Fully Bayesian inference for neural models with negative-binomial spiking
Jonathan W. Pillow, James Scott
Probabilistic Low-Rank Subspace Clustering
S. D. Babacan, Shinichi Nakajima, Minh Do
Active Learning of Multi-Index Function Models
Tyagi Hemant, Volkan Cevher
A Neural Autoregressive Topic Model
Hugo Larochelle, Stanislas Lauly
Newton-Like Methods for Sparse Inverse Covariance Estimation
Figen Oztoprak, Jorge Nocedal, Steven Rennie et al.
Learning Manifolds with K-Means and K-Flats
Guillermo Canas, Tomaso Poggio, Lorenzo Rosasco
Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation
Tuo Zhao, Kathryn Roeder, Han Liu
Collaborative Gaussian Processes for Preference Learning
Neil Houlsby, Ferenc Huszar, Zoubin Ghahramani et al.
Transelliptical Graphical Models
Han Liu, Fang Han, Cun-hui Zhang
A nonparametric variable clustering model
Konstantina Palla, Zoubin Ghahramani, David A. Knowles
Multimodal Learning with Deep Boltzmann Machines
Nitish Srivastava, Ruslan Salakhutdinov
A Polynomial-time Form of Robust Regression
Yao-liang Yu, Özlem Aslan, Dale Schuurmans
Hierarchical spike coding of sound
Yan Karklin, Chaitanya Ekanadham, Eero P. Simoncelli
Identification of Recurrent Patterns in the Activation of Brain Networks
Firdaus Janoos, Weichang Li, Niranjan Subrahmanya et al.
Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning
Matthew Der, Lawrence K. Saul
Value Pursuit Iteration
Amir M. Farahmand, Doina Precup
A Conditional Multinomial Mixture Model for Superset Label Learning
Liping Liu, Thomas G. Dietterich
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems
Morteza Ibrahimi, Adel Javanmard, Benjamin V. Roy
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function
Pedro Ortega, Jordi Grau-moya, Tim Genewein et al.
Unsupervised Template Learning for Fine-Grained Object Recognition
Shulin Yang, Liefeng Bo, Jue Wang et al.