Papers
Multi-task Vector Field Learning
Binbin Lin, Sen Yang, Chiyuan Zhang et al.
Multi-view Positive and Unlabeled Learning
Joey Tianyi Zhou, Sinno Jialin Pan, Qi Mao et al.
M-Width: Stability and Accuracy of Haptic Rendering of Virtual Mass
Nick Colonnese, Allison Okamura
Natural Images, Gaussian Mixtures and Dead Leaves
Daniel Zoran, Yair Weiss
Near-Optimal Algorithms for Online Matrix Prediction
Elad Hazan, Satyen Kale, Shai Shalev-Shwartz
Near-optimal Differentially Private Principal Components
Kamalika Chaudhuri, Anand Sarwate, Kaushik Sinha
Near-Optimal MAP Inference for Determinantal Point Processes
Jennifer Gillenwater, Alex Kulesza, Ben Taskar
Neurally Plausible Reinforcement Learning of Working Memory Tasks
Jaldert Rombouts, Pieter Roelfsema, Sander M. Bohte
Neuronal Spike Generation Mechanism as an Oversampling, Noise-shaping A-to-D converter
Dmitri B. Chklovskii, Daniel Soudry
New Bounds for Learning Intervals with Implications for Semi-Supervised Learning
David P. Helmbold, Philip M. Long
Newton-Like Methods for Sparse Inverse Covariance Estimation
Figen Oztoprak, Jorge Nocedal, Steven Rennie et al.
NIMFA : A Python Library for Nonnegative Matrix Factorization
Marinka Žitnik, Blaž Zupan
No Internal Regret via Neighborhood Watch
Dean Foster, Alexander Rakhlin
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics
Michael U. Gutmann, Aapo Hyvärinen
Nonconvex Penalization Using Laplace Exponents and Concave Conjugates
Zhihua Zhang, Bojun Tu
Nonlinear low-dimensional regression using auxiliary coordinates
Weiran Wang, Miguel Carreira-Perpinan
Non-linear Metric Learning
Dor Kedem, Stephen Tyree, Fei Sha et al.
Non-parametric Approximate Dynamic Programming via the Kernel Method
Nikhil Bhat, Vivek Farias, Ciamac C. Moallemi
Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions
Jaedeug Choi, Kee-eung Kim
Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction
Dominik Joho, Gian Diego Tipaldi, Nikolas Engelhard et al.
Nonparametric Estimation of Conditional Information and Divergences
Barnabas Poczos, Jeff Schneider
Nonparametric Guidance of Autoencoder Representations using Label Information
Jasper Snoek, Ryan P. Adams, Hugo Larochelle
Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction
Minjie Xu, Jun Zhu, Bo Zhang
Nonparametric Reduced Rank Regression
Rina Foygel, Michael Horrell, Mathias Drton et al.
Nonparanormal Belief Propagation (NPNBP)
Gal Elidan, Cobi Cario