Papers
Non-stationary continuous dynamic Bayesian networks
Marco Grzegorczyk, Dirk Husmeier
Occlusive Components Analysis
Jörg Lücke, Richard Turner, Maneesh Sahani et al.
On Invariance in Hierarchical Models
Jake Bouvrie, Lorenzo Rosasco, Tomaso Poggio
On Learning Rotations
Raman Arora
Online Learning of Assignments
Matthew Streeter, Daniel Golovin, Andreas Krause
On Stochastic and Worst-case Models for Investing
Elad Hazan, Satyen Kale
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation
Saketha N. Jagarlapudi, Dinesh G, Raman S et al.
On the Convergence of the Concave-Convex Procedure
Gert R. Lanckriet, Bharath K. Sriperumbudur
Optimal context separation of spiking haptic signals by second-order somatosensory neurons
Romain Brasselet, Roland Johansson, Angelo Arleo
Optimal Scoring for Unsupervised Learning
Zhihua Zhang, Guang Dai
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification
Wenming Zheng, Zhouchen Lin
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis
Sundeep Rangan, Alyson K. Fletcher
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units
Feng Yan, Ningyi Xu, Yuan Qi
Particle-based Variational Inference for Continuous Systems
Andrew Frank, Padhraic Smyth, Alexander T. Ihler
Perceptual Multistability as Markov Chain Monte Carlo Inference
Samuel Gershman, Ed Vul, Joshua B. Tenenbaum
Periodic Step Size Adaptation for Single Pass On-line Learning
Chun-nan Hsu, Yu-ming Chang, Hanshen Huang et al.
Polynomial Semantic Indexing
Bing Bai, Jason Weston, David Grangier et al.
Positive Semidefinite Metric Learning with Boosting
Chunhua Shen, Junae Kim, Lei Wang et al.
Posterior vs Parameter Sparsity in Latent Variable Models
Kuzman Ganchev, Ben Taskar, Fernando Pereira et al.
Potential-Based Agnostic Boosting
Varun Kanade, Adam Kalai
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory
Harold Pashler, Nicholas Cepeda, Robert Lindsey et al.
Probabilistic Relational PCA
Wu-jun Li, Dit-Yan Yeung, Zhihua Zhang
Quantification and the language of thought
Charles Kemp
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs
Alexandre Bouchard-côté, Slav Petrov, Dan Klein
Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions
Parikshit Ram, Dongryeol Lee, Hua Ouyang et al.