Papers
Multiscale Community Blockmodel for Network Exploration
Qirong Ho, Ankur Parikh, Le Song et al.
Multi-View Learning of Word Embeddings via CCA
Paramveer Dhillon, Dean P. Foster, Lyle H. Ungar
Natural Language Processing (Almost) from Scratch
Ronan Collobert, Jason Weston, Léon Bottou et al.
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
Neyman-Pearson Classification, Convexity and Stochastic Constraints
Philippe Rigollet, Xin Tong
Neyman-Pearson classification under a strict constraint
Philippe Rigollet, Xin Tong
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
Nonlinear Online Classification Algorithm with Probability Margin
Mingmin Chi, Huijun He, Wenqiang Zhang
Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation
Onur Dikmen, Cédric Févotte
Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes
Elias Zavitsanos, Georgios Paliouras, George A. Vouros
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.
-Norm Multiple Kernel Learning
Marius Kloft, Ulf Brefeld, Sören Sonnenburg 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 Equivalence Relationships Between Classification and Ranking Algorithms
Şeyda Ertekin, Cynthia Rudin
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