Papers
Empirical models of spiking in neural populations
Jakob H. Macke, Lars Buesing, John P. Cunningham et al.
Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure
Veselin Stoyanov, Alexander Ropson, Jason Eisner
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
Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning
Xueyuan Zhou, Nathan Srebro
Estimating beta-mixing coefficients
Daniel McDonald, Cosma Shalizi, Mark Schervish
Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results
Akihiro Koide, Kazumi Saito, Kouzou Ohara et al.
Estimating Probabilities in Recommendation Systems
Mingxuan Sun, Guy Lebanon, Paul Kidwell
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
Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks
Qirong Ho, Le Song, Eric Xing
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
Yizhao Ni, Craig Saunders, Sandor Szedmak et al.
Exploiting Best-Match Equations for Efficient Reinforcement Learning
Harm van Seijen, Shimon Whiteson, Hado van Hasselt et al.
Exploiting spatial overlap to efficiently compute appearance distances between image windows
Bogdan Alexe, Viviana Petrescu, Vittorio Ferrari
Exploiting Variable Stiffness in Explosive Movement Tasks
David Braun, Matthew Howard, Sethu Vijayakumar
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.
Faithfulness in Chain Graphs: The Gaussian Case
Jose M. Peña
Fast $b$-matching via Sufficient Selection Belief Propagation
Bert Huang, Tony Jebara
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.
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference
Matthias Seeger, Hannes Nickisch
Faster Algorithms for Max-Product Message-Passing
Julian J. McAuley, Tibério S. Caetano