Papers
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity
Dejan Pecevski, Wolfgang Maass, Robert A. Legenstein
A Spectral Regularization Framework for Multi-Task Structure Learning
Andreas Argyriou, Massimiliano Pontil, Yiming Ying et al.
Cooled and Relaxed Survey Propagation for MRFs
Hai L. Chieu, Wee S. Lee, Yee W. Teh
The Generalized FITC Approximation
Andrew Naish-guzman, Sean Holden
Modeling image patches with a directed hierarchy of Markov random fields
Simon Osindero, Geoffrey E. Hinton
Hidden Common Cause Relations in Relational Learning
Ricardo Silva, Wei Chu, Zoubin Ghahramani
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons
Lars Buesing, Wolfgang Maass
A general agnostic active learning algorithm
Sanjoy Dasgupta, Daniel J. Hsu, Claire Monteleoni
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
Devarajan Sridharan, Brian Percival, John Arthur et al.
GRIFT: A graphical model for inferring visual classification features from human data
Michael Ross, Andrew Cohen
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
Amir Globerson, Tommi S. Jaakkola
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
Zhaohui Zheng, Hongyuan Zha, Tong Zhang et al.
Configuration Estimates Improve Pedestrian Finding
Duan Tran, David A. Forsyth
Locality and low-dimensions in the prediction of natural experience from fMRI
Francois Meyer, Greg Stephens
Estimating disparity with confidence from energy neurons
Eric K. Tsang, Bertram E. Shi
Markov Chain Monte Carlo with People
Adam Sanborn, Thomas L. Griffiths
Efficient Bayesian Inference for Dynamically Changing Graphs
Ozgur Sumer, Umut Acar, Alexander T. Ihler et al.
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
Ben Carterette, Rosie Jones
Stability Bounds for Non-i.i.d. Processes
Mehryar Mohri, Afshin Rostamizadeh
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Charlie Frogner, Avi Pfeffer
Efficient multiple hyperparameter learning for log-linear models
Chuan-sheng Foo, Chuong B. Do, Andrew Y. Ng
Subspace-Based Face Recognition in Analog VLSI
Gonzalo Carvajal, Waldo Valenzuela, Miguel Figueroa
Modelling motion primitives and their timing in biologically executed movements
Ben Williams, Marc Toussaint, Amos J. Storkey
Sparse Overcomplete Latent Variable Decomposition of Counts Data
Madhusudana Shashanka, Bhiksha Raj, Paris Smaragdis