Papers
173,579 papers found
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
Non-Sparse Multiple Kernel Fisher Discriminant Analysis
Fei Yan, Josef Kittler, Krystian Mikolajczyk et al.
No-Regret Algorithms for Unconstrained Online Convex Optimization
Brendan Mcmahan, Matthew Streeter
Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison
Tianbao Yang, Yu-feng Li, Mehrdad Mahdavi et al.
Oger: Modular Learning Architectures For Large-Scale Sequential Processing
David Verstraeten, Benjamin Schrauwen, Sander Dieleman et al.
On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap
Alexander Paprotny, Jochen Garcke
On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems
Yuri Grinberg, Doina Precup
On Bayesian Upper Confidence Bounds for Bandit Problems
Emilie Kaufmann, Olivier Cappe, Aurelien Garivier
On Bisubmodular Maximization
Ajit Singh, Andrew Guillory, Jeff Bilmes
One Permutation Hashing
Ping Li, Art Owen, Cun-hui Zhang
On Estimation and Selection for Topic Models
Matt Taddy
On Lifting the Gibbs Sampling Algorithm
Deepak Venugopal, Vibhav Gogate