gaussian process

Random function priors for exchangeable arrays with applications to graphs and relational data NeurIPS 2012 Random Search for Hyper-Parameter Optimization JMLR 2012 Variational Bayesian Optimization for Runtime Risk-Sensitive Control RSS 2012 Variational Multinomial Logit Gaussian Process JMLR 2012 Active learning of neural response functions with Gaussian processes NeurIPS 2011 Additive Gaussian Processes NeurIPS 2011 Analytical Results for the Error in Filtering of Gaussian Processes NeurIPS 2011 Bayesian Generalized Kernel Mixed Models JMLR 2011 Computationally Efficient Convolved Multiple Output Gaussian Processes JMLR 2011 Contextual Gaussian Process Bandit Optimization NeurIPS 2011 Convergence Rates of Efficient Global Optimization Algorithms JMLR 2011 Empirical models of spiking in neural populations NeurIPS 2011 Gaussian process modulated renewal processes NeurIPS 2011 Gaussian Process Training with Input Noise NeurIPS 2011 Information Rates and Optimal Decoding in Large Neural Populations NeurIPS 2011 Information Rates of Nonparametric Gaussian Process Methods JMLR 2011 Nonlinear Inverse Reinforcement Learning with Gaussian Processes NeurIPS 2011 On the Analysis of Multi-Channel Neural Spike Data NeurIPS 2011 Optimal Reinforcement Learning for Gaussian Systems NeurIPS 2011 Probabilistic amplitude and frequency demodulation NeurIPS 2011 Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations NeurIPS 2011 Robust Multi-Class Gaussian Process Classification NeurIPS 2011 Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NeurIPS 2011 Variational Gaussian Process Dynamical Systems NeurIPS 2011 Active Instance Sampling via Matrix Partition NeurIPS 2010