Co-occurring keywords · papers mentioning both
Papers
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals
NeurIPS 2013
Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels
JMLR 2013
Kernelized Bayesian Matrix Factorization
ICML 2013
Learning Feature Selection Dependencies in Multi-task Learning
NeurIPS 2013
Learning Stochastic Inverses
NeurIPS 2013
Locally Adaptive Bayesian Multivariate Time Series
NeurIPS 2013
Low-rank matrix reconstruction and clustering via approximate message passing
NeurIPS 2013
Machine Teaching for Bayesian Learners in the Exponential Family
NeurIPS 2013
Message passing with l1 penalized KL minimization
ICML 2013
Multi-image Blind Deblurring Using a Coupled Adaptive Sparse Prior
CVPR 2013
Multiscale Dictionary Learning for Estimating Conditional Distributions
NeurIPS 2013
Multi-task Sparse Learning with Beta Process Prior for Action Recognition
CVPR 2013
Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood
JMLR 2013
Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty
NeurIPS 2013
ODE parameter inference using adaptive gradient matching with Gaussian processes
AISTATS 2013
Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking
NeurIPS 2013
On the Complexity and Approximation of Binary Evidence in Lifted Inference
NeurIPS 2013
Optimal integration of visual speed across different spatiotemporal frequency channels
NeurIPS 2013
Parallel Sampling of DP Mixture Models using Sub-Cluster Splits
NeurIPS 2013
Policy Shaping: Integrating Human Feedback with Reinforcement Learning
NeurIPS 2013
Randomized Ensemble Tracking
ICCV 2013
Real-Time Inference for a Gamma Process Model of Neural Spiking
NeurIPS 2013
Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively
NeurIPS 2013
Reconciling "priors" & "priors" without prejudice?
NeurIPS 2013
Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes
AISTATS 2013