Regression

A blind sparse deconvolution method for neural spike identification NeurIPS 2011 A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm NeurIPS 2011 Additive Gaussian Processes NeurIPS 2011 A Denoising View of Matrix Completion NeurIPS 2011 Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals NeurIPS 2011 A Non-Parametric Approach to Dynamic Programming NeurIPS 2011 Approximate Model Selection for Large Scale LSSVM ACML 2011 A Simpler Approach to Matrix Completion JMLR 2011 Automatic Calibration of Multiple Coplanar Sensors RSS 2011 CAKE: Convex Adaptive Kernel Density Estimation AISTATS 2011 Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs NeurIPS 2011 Computationally Efficient Convolved Multiple Output Gaussian Processes JMLR 2011 Continuous-Time Regression Models for Longitudinal Networks NeurIPS 2011 Convergent Fitted Value Iteration with Linear Function Approximation NeurIPS 2011 Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011 Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets JMLR 2011 Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NeurIPS 2011 Efficient Learning with Partially Observed Attributes JMLR 2011 Efficient Methods for Overlapping Group Lasso NeurIPS 2011 Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results ACML 2011 Estimating Probabilities in Recommendation Systems AISTATS 2011 Evaluating the inverse decision-making approach to preference learning NeurIPS 2011 From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NeurIPS 2011 Gaussian Process Training with Input Noise NeurIPS 2011 Greedy Model Averaging NeurIPS 2011