Bayesian & Probabilistic

Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing ACML 2018 Dynamic and Static Topic Model for Analyzing Time-Series Document Collections ACL 2018 Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes JMLR 2018 Efficient Localized Inference for Large Graphical Models IJCAI 2018 Efficiently Sampling from Underlying Models RSS 2018 Efficient nonmyopic batch active search NeurIPS 2018 Efficient Symbolic Integration for Probabilistic Inference IJCAI 2018 Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models EMNLP 2018 Estimation of Markov Chain via Rank-Constrained Likelihood ICML 2018 Estimation of the Number of Speakers with Variational Bayesian PLDA in the DIHARD Diarization Challenge. Interspeech 2018 Exact learning augmented naive Bayes classifier PGM 2018 Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics IJCAI 2018 Exponentiated Strongly Rayleigh Distributions NeurIPS 2018 Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective IJCAI 2018 Extracting Morphophonology from Small Corpora EMNLP 2018 Factorial HMMs with Collapsed Gibbs Sampling for Optimizing Long-term HIV Therapy AISTATS 2018 Fast Variational Bayes for Heavy-tailed PLDA Applied to i-vectors and x-vectors Interspeech 2018 Feature-correlation-aware Gaussian Process Latent Variable Model ACML 2018 Finding Minimal Separators in LWF Chain Graphs PGM 2018 Finding Optimal Bayesian Networks with Local Structure PGM 2018 Fixing a Broken ELBO ICML 2018 Formal Verification of Bayesian Network Classifiers PGM 2018 Forward-Backward Splitting for Time-Varying Graphical Models PGM 2018 Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery Interspeech 2018 Gaussian Lower Bound for the Information Bottleneck Limit JMLR 2018