Papers
Layer-wise analysis of deep networks with Gaussian kernels
Grégoire Montavon, Klaus-Robert Müller, Mikio L. Braun
Learning Bounds for Importance Weighting
Corinna Cortes, Yishay Mansour, Mehryar Mohri
Learning concept graphs from text with stick-breaking priors
America Chambers, Padhraic Smyth, Mark Steyvers
Learning Convolutional Feature Hierarchies for Visual Recognition
Koray Kavukcuoglu, Pierre Sermanet, Y-lan Boureau et al.
Learning Efficient Markov Networks
Vibhav Gogate, William Webb, Pedro Domingos
Learning from Candidate Labeling Sets
Jie Luo, Francesco Orabona
Learning from Logged Implicit Exploration Data
Alex Strehl, John Langford, Lihong Li et al.
Learning invariant features using the Transformed Indian Buffet Process
Joseph L. Austerweil, Thomas L. Griffiths
Learning Kernels with Radiuses of Minimum Enclosing Balls
Kun Gai, Guangyun Chen, Chang-shui Zhang
Learning Multiple Tasks using Manifold Regularization
Arvind Agarwal, Samuel Gerber, Hal Daume
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty
Yi Zhang, Jeff G. Schneider
Learning Networks of Stochastic Differential Equations
José Pereira, Morteza Ibrahimi, Andrea Montanari
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors
Alessandro Chiuso, Gianluigi Pillonetto
Learning the context of a category
Dan Navarro
Learning to combine foveal glimpses with a third-order Boltzmann machine
Hugo Larochelle, Geoffrey E. Hinton
Learning To Count Objects in Images
Victor Lempitsky, Andrew Zisserman
Learning to localise sounds with spiking neural networks
Dan Goodman, Romain Brette
Learning via Gaussian Herding
Koby Crammer, Daniel D. Lee
Lifted Inference Seen from the Other Side : The Tractable Features
Abhay Jha, Vibhav Gogate, Alexandra Meliou et al.
Linear Complementarity for Regularized Policy Evaluation and Improvement
Jeffrey Johns, Christopher Painter-wakefield, Ronald Parr
Linear readout from a neural population with partial correlation data
Adrien Wohrer, Ranulfo Romo, Christian K. Machens
Link Discovery using Graph Feature Tracking
Emile Richard, Nicolas Baskiotis, Theodoros Evgeniou et al.
Lower Bounds on Rate of Convergence of Cutting Plane Methods
Xinhua Zhang, Ankan Saha, S.v.n. Vishwanathan
LSTD with Random Projections
Mohammad Ghavamzadeh, Alessandro Lazaric, Odalric Maillard et al.
MAP Estimation for Graphical Models by Likelihood Maximization
Akshat Kumar, Shlomo Zilberstein