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Bayesian & Probabilistic

4,733 papers (2 classified directly here)

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Papers (including subtopics)

Robust Gaussian Graphical Model Estimation with Arbitrary Corruption ICML 2017 Robust Joint and Individual Variance Explained CVPR 2017 Robust Survey Aggregation with Student-t Distribution and Sparse Representation IJCAI 2017 Roles and Success in Wikipedia Talk Pages: Identifying Latent Patterns of Behavior IJCNLP 2017 Safe Model-based Reinforcement Learning with Stability Guarantees NeurIPS 2017 Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling ACL 2017 Scalable Model Selection for Belief Networks NeurIPS 2017 Scalable Variational Inference for Dynamical Systems NeurIPS 2017 Scalable Variational Inference for Super Resolution Microscopy AISTATS 2017 Sequential Graph Matching with Sequential Monte Carlo AISTATS 2017 Speaker Clustering by Iteratively Finding Discriminative Feature Space and Cluster Labels Interspeech 2017 Speaker Verification via Estimating Total Variability Space Using Probabilistic Partial Least Squares Interspeech 2017 Spectral Mixture Kernels for Multi-Output Gaussian Processes NeurIPS 2017 Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization NeurIPS 2017 SSN_MLRG1 at SemEval-2017 Task 4: Sentiment Analysis in Twitter Using Multi-Kernel Gaussian Process Classifier SemEval 2017 Statistical and Computational Guarantees for the Baum-Welch Algorithm JMLR 2017 Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences JMLR 2017 Stein Variational Gradient Descent as Gradient Flow NeurIPS 2017 Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference NeurIPS 2017 Stochastic Constraint Programming with And-Or Branch-and-Bound IJCAI 2017 Stochastic Gradient MCMC Methods for Hidden Markov Models ICML 2017 Stochastic Gradient Monomial Gamma Sampler ICML 2017 Stochastic Recurrent Neural Network for Speech Recognition Interspeech 2017 Streaming Sparse Gaussian Process Approximations NeurIPS 2017 Structured Bayesian Pruning via Log-Normal Multiplicative Noise NeurIPS 2017