Papers
Model selection and velocity estimation using novel priors for motion patterns
Shuang Wu, Hongjing Lu, Alan L. Yuille
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE
Garvesh Raskutti, Bin Yu, Martin J. Wainwright et al.
Mortal Multi-Armed Bandits
Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski et al.
Multi-Agent Filtering with Infinitely Nested Beliefs
Luke Zettlemoyer, Brian Milch, Leslie P. Kaelbling
Multi-label Multiple Kernel Learning
Shuiwang Ji, Liang Sun, Rong Jin et al.
Multi-Level Active Prediction of Useful Image Annotations for Recognition
Sudheendra Vijayanarasimhan, Kristen Grauman
Multi-resolution Exploration in Continuous Spaces
Ali Nouri, Michael L. Littman
Multiscale Random Fields with Application to Contour Grouping
Longin J. Latecki, Chengen Lu, Marc Sobel et al.
Multi-task Gaussian Process Learning of Robot Inverse Dynamics
Christopher Williams, Stefan Klanke, Sethu Vijayakumar et al.
Natural Image Denoising with Convolutional Networks
Viren Jain, Sebastian Seung
Near-minimax recursive density estimation on the binary hypercube
Maxim Raginsky, Svetlana Lazebnik, Rebecca Willett et al.
Near-optimal Regret Bounds for Reinforcement Learning
Peter Auer, Thomas Jaksch, Ronald Ortner
Nonlinear causal discovery with additive noise models
Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij et al.
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan et al.
Nonparametric regression and classification with joint sparsity constraints
Han Liu, Larry Wasserman, John D. Lafferty
Non-parametric Regression Between Manifolds
Florian Steinke, Matthias Hein
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images
Vincent Q. Vu, Bin Yu, Thomas Naselaris et al.
Nonrigid Structure from Motion in Trajectory Space
Ijaz Akhter, Yaser Sheikh, Sohaib Khan et al.
Non-stationary dynamic Bayesian networks
Joshua W. Robinson, Alexander J. Hartemink
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Alex Graves, Jürgen Schmidhuber
On Bootstrapping the ROC Curve
Patrice Bertail, Stéphan J. Clémençcon, Nicolas Vayatis
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Benjamin Schrauwen, Lars Buesing, Robert A. Legenstein
One sketch for all: Theory and Application of Conditional Random Sampling
Ping Li, Kenneth W. Church, Trevor J. Hastie
Online Metric Learning and Fast Similarity Search
Prateek Jain, Brian Kulis, Inderjit S. Dhillon et al.