Papers
Fast global convergence rates of gradient methods for high-dimensional statistical recovery
Alekh Agarwal, Sahand Negahban, Martin J. Wainwright
FastInf: An Efficient Approximate Inference Library
Ariel Jaimovich, Ofer Meshi, Ian McGraw et al.
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 Selection using Multiple Streams
Paramveer Dhillon, Dean Foster, Lyle Ungar
Feature Set Embedding for Incomplete Data
David Grangier, Iain Melvin
Finite-sample Analysis of Bellman Residual Minimization
Odalric-Ambrym Maillard, Remi Munos, Alessandro Lazaric et al.
Fluid Dynamics Models for Low Rank Discriminant Analysis
Yung–Kyun Noh, Byoung–Tak Zhang, Daniel Lee
Focused Belief Propagation for Query-Specific Inference
Anton Chechetka, Carlos Guestrin
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 Processes for Machine Learning (GPML) Toolbox
Carl Edward Rasmussen, Hannes Nickisch
Gaussian processes with monotonicity information
Jaakko Riihimäki, Aki Vehtari
Gaussian Process Preference Elicitation
Shengbo Guo, Scott Sanner, Edwin V. Bonilla
Gaussian sampling by local perturbations
George Papandreou, Alan L. Yuille
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
Gideon S. Mann, Andrew McCallum
Generalized Power Method for Sparse Principal Component Analysis
Michel Journée, Yurii Nesterov, Peter Richtárik et al.
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
Generative Models of Information Diffusion with Asynchronous Timedelay
Kazumi Saito, Masahiro Kimura, Kouzou Ohara et al.
Getting lost in space: Large sample analysis of the resistance distance
Ulrike V. Luxburg, Agnes Radl, Matthias Hein