Papers
Error Propagation for Approximate Policy and Value Iteration
Amir-massoud Farahmand, Csaba Szepesvári, Rémi Munos
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces
Abhinav Gupta, Martial Hebert, Takeo Kanade et al.
Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity
Aapo Hyvärinen, Kun Zhang, Shohei Shimizu et al.
Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs
Dávid Pál, Barnabás Póczos, Csaba Szepesvári
Evaluating neuronal codes for inference using Fisher information
Haefner Ralf, Matthias Bethge
Evaluation of Rarity of Fingerprints in Forensics
Chang Su, Sargur Srihari
Evidence-Specific Structures for Rich Tractable CRFs
Anton Chechetka, Carlos Guestrin
Evolving Static Representations for Task Transfer
Phillip Verbancsics, Kenneth O. Stanley
Exact inference and learning for cumulative distribution functions on loopy graphs
Nebojsa Jojic, Chris Meek, Jim C. Huang
Exact learning curves for Gaussian process regression on large random graphs
Matthew Urry, Peter Sollich
Exclusive Lasso for Multi-task Feature Selection
Yang Zhou, Rong Jin, Steven Chu–Hong Hoi
Expectation Truncation and the Benefits of Preselection In Training Generative Models
Jörg Lücke, Julian Eggert
Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net
Alexander Lorbert, David Eis, Victoria Kostina et al.
Exploiting Feature Covariance in High-Dimensional Online Learning
Justin Ma, Alex Kulesza, Mark Dredze et al.
Exploiting the High Predictive Power of Multi-class Subgroups
Tarek Abudawood, Peter Flach
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach
Alessandro Bergamo, Lorenzo Torresani
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