Papers
A spatially varying two-sample recombinant coalescent, with applications to HIV escape response
Alexander Braunstein, Zhi Wei, Shane T. Jensen et al.
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data
Tran T. Truyen, Dinh Phung, Hung Bui et al.
Mind the Duality Gap: Logarithmic regret algorithms for online optimization
Shai Shalev-shwartz, Sham M. Kakade
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Benjamin Schrauwen, Lars Buesing, Robert A. Legenstein
Continuously-adaptive discretization for message-passing algorithms
Michael Isard, John MacCormick, Kannan Achan
Dimensionality Reduction for Data in Multiple Feature Representations
Yen-yu Lin, Tyng-luh Liu, Chiou-shann Fuh
Regularized Policy Iteration
Amir M. Farahmand, Mohammad Ghavamzadeh, Shie Mannor et al.
Kernel Measures of Independence for non-iid Data
Xinhua Zhang, Le Song, Arthur Gretton et al.
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
Byron M. Yu, John P. Cunningham, Gopal Santhanam et al.
Tracking Changing Stimuli in Continuous Attractor Neural Networks
K. Wong, Si Wu, Chi Fung
Bayesian Synchronous Grammar Induction
Phil Blunsom, Trevor Cohn, Miles Osborne
Fast Rates for Regularized Objectives
Karthik Sridharan, Shai Shalev-shwartz, Nathan Srebro
Bayesian Network Score Approximation using a Metagraph Kernel
Benjamin Yackley, Eduardo Corona, Terran Lane
Online Metric Learning and Fast Similarity Search
Prateek Jain, Brian Kulis, Inderjit S. Dhillon et al.
Phase transitions for high-dimensional joint support recovery
Sahand Negahban, Martin J. Wainwright
Dynamic visual attention: searching for coding length increments
Xiaodi Hou, Liqing Zhang
An interior-point stochastic approximation method and an L1-regularized delta rule
Peter Carbonetto, Mark Schmidt, Nando D. Freitas
Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1
Klaus Wimmer, Marcel Stimberg, Robert Martin et al.
Load and Attentional Bayes
Peter Dayan
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features
Tae-kyun Kim, Roberto Cipolla
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
Indraneel Mukherjee, David M. Blei
Bounds on marginal probability distributions
Joris M. Mooij, Hilbert J. Kappen
Clusters and Coarse Partitions in LP Relaxations
David Sontag, Amir Globerson, Tommi S. Jaakkola
Modeling the effects of memory on human online sentence processing with particle filters
Roger P. Levy, Florencia Reali, Thomas L. Griffiths