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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Bounds on marginal probability distributions NIPS 2008
Load and Attentional Bayes NIPS 2008
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity NIPS 2008
Kernel Measures of Independence for non-iid Data NIPS 2008
Continuously-adaptive discretization for message-passing algorithms NIPS 2008
Evaluating probabilities under high-dimensional latent variable models NIPS 2008
Mixed Membership Stochastic Blockmodels JMLR 2008
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction JMLR 2008
Markov Chain Monte Carlo with People NIPS 2007
Integrating Naïve Bayes and FOIL JMLR 2007
Relational Dependency Networks JMLR 2007
Exponential Family Predictive Representations of State NIPS 2007
Non-parametric Modeling of Partially Ranked Data NIPS 2007
Infinite State Bayes-Nets for Structured Domains NIPS 2007
Probabilistic Matrix Factorization NIPS 2007
Fast Variational Inference for Large-scale Internet Diagnosis NIPS 2007
Discovering Weakly-Interacting Factors in a Complex Stochastic Process NIPS 2007
Expectation Maximization and Posterior Constraints NIPS 2007
Learning with Tree-Averaged Densities and Distributions NIPS 2007
Multi-task Gaussian Process Prediction NIPS 2007
Distributed Inference for Latent Dirichlet Allocation NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
A Bayesian Model of Conditioned Perception NIPS 2007
CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching RSS 2007
Data Association in O(n) for Divide and Conquer SLAM RSS 2007