← Optimization & Theory
Machine Learning › Optimization & Theory ›

Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Kernelized Bayesian Matrix Factorization ICML 2013
Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013
Fast Max-Margin Matrix Factorization with Data Augmentation ICML 2013
Message Passing Inference with Chemical Reaction Networks NIPS 2013
Approximate Inference in Collective Graphical Models ICML 2013
Scaling the Indian Buffet Process via Submodular Maximization ICML 2013
Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution CVPR 2013
Whitened Expectation Propagation: Non-Lambertian Shape from Shading and Shadow CVPR 2013
Capturing Complex Spatio-temporal Relations among Facial Muscles for Facial Expression Recognition CVPR 2013
Bayesian Depth-from-Defocus with Shading Constraints CVPR 2013
Approximate inference in latent Gaussian-Markov models from continuous time observations NIPS 2013
A Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration CVPR 2013
Flexible sampling of discrete data correlations without the marginal distributions NIPS 2013
Locally Adaptive Bayesian Multivariate Time Series NIPS 2013
Probabilistic Principal Geodesic Analysis NIPS 2013
Multi-Task Bayesian Optimization NIPS 2013
Multi-task Sparse Learning with Beta Process Prior for Action Recognition CVPR 2013
Illuminant Chromaticity from Image Sequences ICCV 2013
Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation NIPS 2013
Expensive Function Optimization with Stochastic Binary Outcomes ICML 2013
Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting ICML 2013
A Practical Transfer Learning Algorithm for Face Verification ICCV 2013
Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NIPS 2013
Data-driven Distributionally Robust Polynomial Optimization NIPS 2013
Universal models for binary spike patterns using centered Dirichlet processes NIPS 2013