Papers
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models
Liang Zhang, Deepak Agarwal
Spike Feature Extraction Using Informative Samples
Zhi Yang, Qi Zhao, Wentai Liu
Clustering via LP-based Stabilities
Nikos Komodakis, Nikos Paragios, Georgios Tziritas
Sparse Signal Recovery Using Markov Random Fields
Volkan Cevher, Marco F. Duarte, Chinmay Hegde et al.
The Infinite Factorial Hidden Markov Model
Jurgen V. Gael, Yee W. Teh, Zoubin Ghahramani
Correlated Bigram LSA for Unsupervised Language Model Adaptation
Yik-cheung Tam, Tanja Schultz
Hierarchical Fisher Kernels for Longitudinal Data
Zhengdong Lu, Jeffrey Kaye, Todd K. Leen
Robust Regression and Lasso
Huan Xu, Constantine Caramanis, Shie Mannor
Online Models for Content Optimization
Deepak Agarwal, Bee-chung Chen, Pradheep Elango et al.
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Shenghuo Zhu, Kai Yu, Yihong Gong
A Scalable Hierarchical Distributed Language Model
Andriy Mnih, Geoffrey E. Hinton
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images
Vincent Q. Vu, Bin Yu, Thomas Naselaris et al.
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG
Julia Owen, Hagai T. Attias, Kensuke Sekihara et al.
Spectral Clustering with Perturbed Data
Ling Huang, Donghui Yan, Nina Taft et al.
Probabilistic detection of short events, with application to critical care monitoring
Norm Aleks, Stuart Russell, Michael G. Madden et al.
Estimating vector fields using sparse basis field expansions
Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe et al.
Efficient Inference in Phylogenetic InDel Trees
Alexandre Bouchard-côté, Dan Klein, Michael I. Jordan
Multi-task Gaussian Process Learning of Robot Inverse Dynamics
Christopher Williams, Stefan Klanke, Sethu Vijayakumar et al.
A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context
Abhinav Gupta, Jianbo Shi, Larry S. Davis
Sparse Convolved Gaussian Processes for Multi-output Regression
Mauricio Alvarez, Neil D. Lawrence
Inferring rankings under constrained sensing
Srikanth Jagabathula, Devavrat Shah
Differentiable Sparse Coding
J. A. Bagnell, David M. Bradley
Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection
Takafumi Kanamori, Shohei Hido, Masashi Sugiyama