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Bayesian Inference

4821 directly classified papers

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Papers

Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
Compression-Based Averaging of Selective Naive Bayes Classifiers JMLR 2007
Data Association in O(n) for Divide and Conquer SLAM RSS 2007
Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters JMLR 2007
PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers JMLR 2007
The Identity Management Kalman Filter (IMKF) RSS 2006
Environment Identification for a Running Robot Using Inertial and Actuator Cues RSS 2006
A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics RSS 2006
The Iterated Sigma Point Kalman Filter with Applications to Long Range Stereo RSS 2006
Parameter Expanded Variational Bayesian Methods NIPS 2006
Gaussian Processes for Signal Strength-Based Location Estimation RSS 2006
A PAC-Bayes Risk Bound for General Loss Functions NIPS 2006
Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation JMLR 2006
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals JMLR 2006
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NIPS 2006
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation NIPS 2006
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems JMLR 2006
Using Combinatorial Optimization within Max-Product Belief Propagation NIPS 2006
The Neurodynamics of Belief Propagation on Binary Markov Random Fields NIPS 2006
Bayesian Model Scoring in Markov Random Fields NIPS 2006
Theory and Dynamics of Perceptual Bistability NIPS 2006
Unified Inverse Depth Parametrization for Monocular SLAM RSS 2006
Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting JMLR 2006
Approximate inference using planar graph decomposition NIPS 2006