Papers
Divide-and-Conquer Matrix Factorization
Lester W. Mackey, Michael I. Jordan, Ameet Talwalkar
Dynamical segmentation of single trials from population neural data
Biljana Petreska, Byron M. Yu, John P. Cunningham et al.
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection
Richard Socher, Eric H. Huang, Jeffrey Pennin et al.
Efficient anomaly detection using bipartite k-NN graphs
Kumar Sricharan, Alfred O. Hero
Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons
Yan Karklin, Eero P. Simoncelli
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krähenbühl, Vladlen Koltun
Efficient inference in matrix-variate Gaussian models with \iid observation noise
Oliver Stegle, Christoph Lippert, Joris M. Mooij et al.
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression
Sham M. Kakade, Varun Kanade, Ohad Shamir et al.
Efficient Methods for Overlapping Group Lasso
Lei Yuan, Jun Liu, Jieping Ye
Efficient Offline Communication Policies for Factored Multiagent POMDPs
João V. Messias, Matthijs Spaan, Pedro U. Lima
Efficient Online Learning via Randomized Rounding
Nicolò Cesa-bianchi, Ohad Shamir
Empirical models of spiking in neural populations
Jakob H. Macke, Lars Buesing, John P. Cunningham et al.
Energetically Optimal Action Potentials
Martin B. Stemmler, Biswa Sengupta, Simon Laughlin et al.
Environmental statistics and the trade-off between model-based and TD learning in humans
Dylan A. Simon, Nathaniel D. Daw
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron
Ryota Kobayashi, Yasuhiro Tsubo, Petr Lansky et al.
Evaluating the inverse decision-making approach to preference learning
Alan Jern, Christopher G. Lucas, Charles Kemp
Exploiting spatial overlap to efficiently compute appearance distances between image windows
Bogdan Alexe, Viviana Petrescu, Vittorio Ferrari
Expressive Power and Approximation Errors of Restricted Boltzmann Machines
Guido F. Montufar, Johannes Rauh, Nihat Ay
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network
Ke Chen, Ahmad Salman
Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines
Matthew D. Zeiler, Graham W. Taylor, Leonid Sigal et al.
Fast and Accurate k-means For Large Datasets
Michael Shindler, Alex Wong, Adam W. Meyerson
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition
Jia Deng, Sanjeev Satheesh, Alexander C. Berg et al.
Finite Time Analysis of Stratified Sampling for Monte Carlo
Alexandra Carpentier, Rémi Munos