Papers
Fast global convergence rates of gradient methods for high-dimensional statistical recovery
Alekh Agarwal, Sahand Negahban, Martin J. Wainwright
Fast Large-scale Mixture Modeling with Component-specific Data Partitions
Bo Thiesson, Chong Wang
Feature Construction for Inverse Reinforcement Learning
Sergey Levine, Zoran Popovic, Vladlen Koltun
Feature Set Embedding for Incomplete Data
David Grangier, Iain Melvin
Fractionally Predictive Spiking Neurons
Jaldert Rombouts, Sander M. Bohte
Functional form of motion priors in human motion perception
Hongjing Lu, Tungyou Lin, Alan Lee et al.
Functional Geometry Alignment and Localization of Brain Areas
Georg Langs, Yanmei Tie, Laura Rigolo et al.
Gated Softmax Classification
Roland Memisevic, Christopher Zach, Marc Pollefeys et al.
Gaussian Process Preference Elicitation
Shengbo Guo, Scott Sanner, Edwin V. Bonilla
Gaussian sampling by local perturbations
George Papandreou, Alan L. Yuille
Generalized roof duality and bisubmodular functions
Vladimir Kolmogorov
Generating more realistic images using gated MRF's
Marc'aurelio Ranzato, Volodymyr Mnih, Geoffrey E. Hinton
Generative Local Metric Learning for Nearest Neighbor Classification
Yung-kyun Noh, Byoung-tak Zhang, Daniel D. Lee
Getting lost in space: Large sample analysis of the resistance distance
Ulrike V. Luxburg, Agnes Radl, Matthias Hein
Global Analytic Solution for Variational Bayesian Matrix Factorization
Shinichi Nakajima, Masashi Sugiyama, Ryota Tomioka
Global seismic monitoring as probabilistic inference
Nimar Arora, Stuart Russell, Paul Kidwell et al.
Graph-Valued Regression
Han Liu, Xi Chen, Larry Wasserman et al.
Group Sparse Coding with a Laplacian Scale Mixture Prior
Pierre Garrigues, Bruno A. Olshausen
Guaranteed Rank Minimization via Singular Value Projection
Prateek Jain, Raghu Meka, Inderjit S. Dhillon
Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model
Peggy Series, David P. Reichert, Amos J. Storkey
Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning
Prateek Jain, Sudheendra Vijayanarasimhan, Kristen Grauman
Heavy-Tailed Process Priors for Selective Shrinkage
Fabian L. Wauthier, Michael I. Jordan
Humans Learn Using Manifolds, Reluctantly
Tim Rogers, Chuck Kalish, Joseph Harrison et al.
Identifying Dendritic Processing
Aurel A. Lazar, Yevgeniy Slutskiy