Bioinformatics

ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel JMLR 2012 Multiresolution Mixture Modeling using Merging of Mixture Components ACML 2012 Nonparametric Reduced Rank Regression NeurIPS 2012 Scalable imputation of genetic data with a discrete fragmentation-coagulation process NeurIPS 2012 Structured Learning of Gaussian Graphical Models NeurIPS 2012 Structured Sparse Canonical Correlation Analysis AISTATS 2012 Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination NeurIPS 2012 Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding NeurIPS 2012 A Global Structural EM Algorithm for a Model of Cancer Progression NeurIPS 2011 Computationally Efficient Convolved Multiple Output Gaussian Processes JMLR 2011 Efficient inference in matrix-variate Gaussian models with \iid observation noise NeurIPS 2011 EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NeurIPS 2011 Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation NeurIPS 2011 Inferring Interaction Networks using the IBP applied to microRNA Target Prediction NeurIPS 2011 Learning from positive and unlabeled examples by enforcing statistical significance AISTATS 2011 Modelling Genetic Variations using Fragmentation-Coagulation Processes NeurIPS 2011 Structured Learning for Cell Tracking NeurIPS 2011 Adaptive Multi-Task Lasso: with Application to eQTL Detection NeurIPS 2010 A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra AISTATS 2010 Approximate parameter inference in a stochastic reaction-diffusion model AISTATS 2010 Brain covariance selection: better individual functional connectivity models using population prior NeurIPS 2010 Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NeurIPS 2010 Dense Message Passing for Sparse Principal Component Analysis AISTATS 2010 Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization NeurIPS 2010 Exact inference and learning for cumulative distribution functions on loopy graphs NeurIPS 2010