Papers
Analyzing human feature learning as nonparametric Bayesian inference
Thomas L. Griffiths, Joseph L. Austerweil
An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering
Dilan Gorur, Yee W. Teh
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
Gabriele Schweikert, Gunnar Rätsch, Christian K. Widmer et al.
An Extended Level Method for Efficient Multiple Kernel Learning
Zenglin Xu, Rong Jin, Irwin King et al.
An Homotopy Algorithm for the Lasso with Online Observations
Pierre Garrigues, Laurent E. Ghaoui
An ideal observer model of infant object perception
Charles Kemp, Fei Xu
An improved estimator of Variance Explained in the presence of noise
Ralf M. Haefner, Bruce G. Cumming
An interior-point stochastic approximation method and an L1-regularized delta rule
Peter Carbonetto, Mark Schmidt, Nando D. Freitas
An Online Algorithm for Maximizing Submodular Functions
Matthew Streeter, Daniel Golovin
A rational model of preference learning and choice prediction by children
Christopher G. Lucas, Thomas L. Griffiths, Fei Xu et al.
Artificial Olfactory Brain for Mixture Identification
Mehmet K. Muezzinoglu, Alexander Vergara, Ramon Huerta et al.
A Scalable Hierarchical Distributed Language Model
Andriy Mnih, Geoffrey E. Hinton
A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context
Abhinav Gupta, Jianbo Shi, Larry S. Davis
A spatially varying two-sample recombinant coalescent, with applications to HIV escape response
Alexander Braunstein, Zhi Wei, Shane T. Jensen et al.
Asynchronous Distributed Learning of Topic Models
Padhraic Smyth, Max Welling, Arthur U. Asuncion
A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning
Massih R. Amini, Nicolas Usunier, François Laviolette
Automatic online tuning for fast Gaussian summation
Vlad I. Morariu, Balaji V. Srinivasan, Vikas C. Raykar et al.
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
Hannes Nickisch, Rolf Pohmann, Bernhard Schölkopf et al.
Bayesian Exponential Family PCA
Shakir Mohamed, Zoubin Ghahramani, Katherine A. Heller
Bayesian Kernel Shaping for Learning Control
Jo-anne Ting, Mrinal Kalakrishnan, Sethu Vijayakumar et al.
Bayesian Model of Behaviour in Economic Games
Debajyoti Ray, Brooks King-casas, P. R. Montague et al.
Bayesian Network Score Approximation using a Metagraph Kernel
Benjamin Yackley, Eduardo Corona, Terran Lane
Bayesian Synchronous Grammar Induction
Phil Blunsom, Trevor Cohn, Miles Osborne
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
Daphna Weinshall, Hynek Hermansky, Alon Zweig et al.
Biasing Approximate Dynamic Programming with a Lower Discount Factor
Marek Petrik, Bruno Scherrer