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Probabilistic Modeling

2591 directly classified papers

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Papers

Polytope samplers for inference in ill-posed inverse problems AISTATS 2011
Monte Carlo Pose Estimation with Quaternion Kernels and the Bingham Distribution RSS 2011
A rational model of causal inference with continuous causes NIPS 2011
Computationally Efficient Convolved Multiple Output Gaussian Processes JMLR 2011
Hidden-Unit Conditional Random Fields AISTATS 2011
Global Motion Planning under Uncertain Motion, Sensing, and Environment Map RSS 2011
Probabilistic Analysis of Correctness of High-Level Robot Behavior with Sensor Error RSS 2011
Kernel Belief Propagation AISTATS 2011
Asymptotic Theory for Linear-Chain Conditional Random Fields AISTATS 2011
Mixed Cumulative Distribution Networks AISTATS 2011
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models AISTATS 2011
Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables AISTATS 2011
Selective Prediction of Financial Trends with Hidden Markov Models NIPS 2011
Learning unbelievable probabilities NIPS 2011
A Model for Temporal Dependencies in Event Streams NIPS 2011
Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability NIPS 2011
Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning NIPS 2011
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices NIPS 2011
t-divergence Based Approximate Inference NIPS 2011
Complexity of Inference in Latent Dirichlet Allocation NIPS 2011
Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints NIPS 2011
Collective Graphical Models NIPS 2011
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NIPS 2011
Solving Decision Problems with Limited Information NIPS 2011
An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments NIPS 2011