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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Inference in a Partially Observed Queuing Model with Applications in Ecology ICML 2015
Streaming Variational Inference for Dirichlet Process Mixtures ACML 2015
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo ICML 2015
A Hybrid Approach for Probabilistic Inference using Random Projections ICML 2015
Risk and Regret of Hierarchical Bayesian Learners ICML 2015
Making Pairwise Binary Graphical Models Attractive NIPS 2014
Robust Principal Component Analysis with Complex Noise ICML 2014
Gaussian Process Optimization with Mutual Information ICML 2014
The Infinite Mixture of Infinite Gaussian Mixtures NIPS 2014
Complex Activity Recognition using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video CVPR 2014
PatchMatch Based Joint View Selection and Depthmap Estimation CVPR 2014
From Stochastic Grammar to Bayes Network: Probabilistic Parsing of Complex Activity CVPR 2014
Online Object Tracking, Learning and Parsing with And-Or Graphs CVPR 2014
Interval Tracker: Tracking by Interval Analysis CVPR 2014
Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices ICML 2014
Memory (and Time) Efficient Sequential Monte Carlo ICML 2014
Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes ICML 2014
Non-Parametric Bayesian Constrained Local Models CVPR 2014
Bayesian View Synthesis and Image-Based Rendering Principles CVPR 2014
Scaling-up Importance Sampling for Markov Logic Networks NIPS 2014
Clamping Variables and Approximate Inference NIPS 2014
PEWA: Patch-based Exponentially Weighted Aggregation for image denoising NIPS 2014
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NIPS 2014
Spectral Methods for Indian Buffet Process Inference NIPS 2014
Compressive Sensing of Signals from a GMM with Sparse Precision Matrices NIPS 2014