Papers
Double Q-learning
Hado V. Hasselt
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis
Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda et al.
Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks
Kentaro Katahira, Kazuo Okanoya, Masato Okada
Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions
Achintya Kundu, Vikram Tankasali, Chiranjib Bhattacharyya et al.
Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization
Feiping Nie, Heng Huang, Xiao Cai et al.
Efficient Minimization of Decomposable Submodular Functions
Peter Stobbe, Andreas Krause
Efficient Optimization for Discriminative Latent Class Models
Armand Joulin, Jean Ponce, Francis R. Bach
Efficient Relational Learning with Hidden Variable Detection
Ni Lao, Jun Zhu, Liu Liu et al.
Empirical Bernstein Inequalities for U-Statistics
Thomas Peel, Sandrine Anthoine, Liva Ralaivola
Empirical Risk Minimization with Approximations of Probabilistic Grammars
Noah A. Smith, Shay B. Cohen
Energy Disaggregation via Discriminative Sparse Coding
J. Z. Kolter, Siddharth Batra, Andrew Y. Ng
Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures
Kamiya Motwani, Nagesh Adluru, Chris Hinrichs et al.
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 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
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
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach
Alessandro Bergamo, Lorenzo Torresani
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
Factorized Latent Spaces with Structured Sparsity
Yangqing Jia, Mathieu Salzmann, Trevor Darrell
Fast detection of multiple change-points shared by many signals using group LARS
Jean-philippe Vert, Kevin Bleakley