Probabilistic Modeling

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models NeurIPS 2018 Density Adaptive Point Set Registration CVPR 2018 Differential networking with path weights in Gaussian trees PGM 2018 Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management IJCAI 2018 Discrete model-based clustering with overlapping subsets of attributes PGM 2018 Discriminative Training of Sum-Product Networks by Extended Baum-Welch PGM 2018 Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing ACML 2018 Dynamic and Static Topic Model for Analyzing Time-Series Document Collections ACL 2018 Efficient Localized Inference for Large Graphical Models IJCAI 2018 Efficiently Sampling from Underlying Models RSS 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 Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics IJCAI 2018 Exponentiated Strongly Rayleigh Distributions NeurIPS 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 Forward-Backward Splitting for Time-Varying Graphical Models PGM 2018 Gaussian Lower Bound for the Information Bottleneck Limit JMLR 2018 Gaussian Mixture Latent Vector Grammars ACL 2018 Generalizing Tree Probability Estimation via Bayesian Networks NeurIPS 2018 Graphical model inference: Sequential Monte Carlo meets deterministic approximations NeurIPS 2018