Papers
The Neural Costs of Optimal Control
Samuel Gershman, Robert Wilson
Spike timing-dependent plasticity as dynamic filter
Joscha Schmiedt, Christian Albers, Klaus Pawelzik
A Family of Penalty Functions for Structured Sparsity
Jean Morales, Charles A. Micchelli, Massimiliano Pontil
Bayesian Action-Graph Games
Albert X. Jiang, Kevin Leyton-brown
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks
Ali Shojaie, George Michailidis
Probabilistic Multi-Task Feature Selection
Yu Zhang, Dit-Yan Yeung, Qian Xu
Graph-Valued Regression
Han Liu, Xi Chen, Larry Wasserman et al.
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks
Dirk Husmeier, Frank Dondelinger, Sophie Lebre
Linear Complementarity for Regularized Policy Evaluation and Improvement
Jeffrey Johns, Christopher Painter-wakefield, Ronald Parr
Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices
Yi Sun, Jürgen Schmidhuber, Faustino J. Gomez
Global Analytic Solution for Variational Bayesian Matrix Factorization
Shinichi Nakajima, Masashi Sugiyama, Ryota Tomioka
Sodium entry efficiency during action potentials: A novel single-parameter family of Hodgkin-Huxley models
Anand Singh, Renaud Jolivet, Pierre Magistretti et al.
Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake
Stefan Harmeling, Hirsch Michael, Bernhard Schölkopf
Layer-wise analysis of deep networks with Gaussian kernels
Grégoire Montavon, Klaus-Robert Müller, Mikio L. Braun
Attractor Dynamics with Synaptic Depression
K. Wong, He Wang, Si Wu et al.
Fast global convergence rates of gradient methods for high-dimensional statistical recovery
Alekh Agarwal, Sahand Negahban, Martin J. Wainwright
Permutation Complexity Bound on Out-Sample Error
Malik Magdon-Ismail
SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system
Sylvain Chevallier, Hél\`ene Paugam-moisy, Michele Sebag
A Log-Domain Implementation of the Diffusion Network in Very Large Scale Integration
Yi-da Wu, Shi-jie Lin, Hsin Chen
Online Markov Decision Processes under Bandit Feedback
Gergely Neu, Andras Antos, András György et al.
A Bayesian Framework for Figure-Ground Interpretation
Vicky Froyen, Jacob Feldman, Manish Singh
Deterministic Single-Pass Algorithm for LDA
Issei Sato, Kenichi Kurihara, Hiroshi Nakagawa
Random Conic Pursuit for Semidefinite Programming
Ariel Kleiner, Ali Rahimi, Michael I. Jordan
Energy Disaggregation via Discriminative Sparse Coding
J. Z. Kolter, Siddharth Batra, Andrew Y. Ng
Smoothness, Low Noise and Fast Rates
Nathan Srebro, Karthik Sridharan, Ambuj Tewari