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Bayesian & Probabilistic

4,733 papers (2 classified directly here)

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Papers (including subtopics)

Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes JMLR 2016 End-To-End Saliency Mapping via Probability Distribution Prediction CVPR 2016 Energetic Natural Gradient Descent ICML 2016 e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem JMLR 2016 Estimating Causal Effects with Ancestral Graph Markov Models PGM 2016 Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods NeurIPS 2016 Estimating the Size of a Large Network and its Communities from a Random Sample NeurIPS 2016 Evidence Evaluation: a Study of Likelihoods and Independence PGM 2016 Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks PGM 2016 Exact Inference on Gaussian Graphical Models of Arbitrary Topology using Path-Sums JMLR 2016 Exploring Differential Topic Models for Comparative Summarization of Scientific Papers COLING 2016 Exploring Topic Discriminating Power of Words in Latent Dirichlet Allocation COLING 2016 Exponential Stochastic Cellular Automata for Massively Parallel Inference AISTATS 2016 Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models NeurIPS 2016 Flexible Models for Microclustering with Application to Entity Resolution NeurIPS 2016 From Noise Modeling to Blind Image Denoising CVPR 2016 Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations NeurIPS 2016 Gaussian process nonparametric tensor estimator and its minimax optimality ICML 2016 Generalized Direct Change Estimation in Ising Model Structure ICML 2016 Generative Acoustic-Phonemic-Speaker Model Based on Three-Way Restricted Boltzmann Machine Interspeech 2016 Geometric Dirichlet Means Algorithm for topic inference NeurIPS 2016 Grammar induction from (lots of) words alone COLING 2016 Hawkes Processes with Stochastic Excitations ICML 2016 Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network ACML 2016 Hybrid Copula Bayesian Networks PGM 2016