Papers
Minimax Localization of Structural Information in Large Noisy Matrices
Mladen Kolar, Sivaraman Balakrishnan, Alessandro Rinaldo et al.
Modelling Genetic Variations using Fragmentation-Coagulation Processes
Yee W. Teh, Charles Blundell, Lloyd Elliott
Monte Carlo Value Iteration with Macro-Actions
Zhan Lim, Lee Sun, David Hsu
Multi-armed bandits on implicit metric spaces
Aleksandrs Slivkins
Multi-Bandit Best Arm Identification
Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric et al.
Multiclass Boosting: Theory and Algorithms
Mohammad J. Saberian, Nuno Vasconcelos
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach
Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic et al.
Multiple Instance Filtering
Kamil A. Wnuk, Stefano Soatto
Multiple Instance Learning on Structured Data
Dan Zhang, Yan Liu, Luo Si et al.
Multi-View Learning of Word Embeddings via CCA
Paramveer Dhillon, Dean P. Foster, Lyle H. Ungar
Nearest Neighbor based Greedy Coordinate Descent
Inderjit S. Dhillon, Pradeep K. Ravikumar, Ambuj Tewari
Neural Reconstruction with Approximate Message Passing (NeuRAMP)
Alyson K. Fletcher, Sundeep Rangan, Lav R. Varshney et al.
Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability
David P. Reichert, Peggy Series, Amos J. Storkey
Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction
Elad Hazan, Satyen Kale
Noise Thresholds for Spectral Clustering
Sivaraman Balakrishnan, Min Xu, Akshay Krishnamurthy et al.
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
Eric Moulines, Francis R. Bach
Non-conjugate Variational Message Passing for Multinomial and Binary Regression
David A. Knowles, Tom Minka
Nonlinear Inverse Reinforcement Learning with Gaussian Processes
Sergey Levine, Zoran Popovic, Vladlen Koltun
Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation
Onur Dikmen, Cédric Févotte
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels
Vikas Sindhwani, Aurelie C. Lozano
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
David Wingate, Noah Goodman, Andreas Stuhlmueller et al.
Object Detection with Grammar Models
Ross B. Girshick, Pedro F. Felzenszwalb, David A. McAllester
On Causal Discovery with Cyclic Additive Noise Models
Joris M. Mooij, Dominik Janzing, Tom Heskes et al.
On fast approximate submodular minimization
Stefanie Jegelka, Hui Lin, Jeff A. Bilmes
On Learning Discrete Graphical Models using Greedy Methods
Ali Jalali, Christopher C. Johnson, Pradeep K. Ravikumar