Papers
176,624 papers found
Exploiting Within-Clique Factorizations in Junction-Tree Algorithms
Julian McAuley, Tiberio Caetano
Extended Bayesian Information Criteria for Gaussian Graphical Models
Rina Foygel, Mathias Drton
Extensions of Generalized Binary Search to Group Identification and Exponential Costs
Gowtham Bellala, Suresh Bhavnani, Clayton Scott
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images
Marc’Aurelio Ranzato, Alex Krizhevsky, Geoffrey Hinton
Factorized Latent Spaces with Structured Sparsity
Yangqing Jia, Mathieu Salzmann, Trevor Darrell
Factorized Orthogonal Latent Spaces
Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun et al.
Fast Active-set-type Algorithms for $l1$-regularized Linear Regression
Jingu Kim, Haesun Park
Fast and Scalable Local Kernel Machines
Nicola Segata, Enrico Blanzieri
Fast detection of multiple change-points shared by many signals using group LARS
Jean-philippe Vert, Kevin Bleakley
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