probabilistic modeling

Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals CoRL 2017 On Relaxing Determinism in Arithmetic Circuits ICML 2017 Ordinal Graphical Models: A Tale of Two Approaches ICML 2017 Personalized Quantification of Voice Attractiveness in Multidimensional Merit Space Interspeech 2017 Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NeurIPS 2017 Probabilistic Rule Realization and Selection NeurIPS 2017 Probabilistic Typology: Deep Generative Models of Vowel Inventories ACL 2017 Recovering Probability Distributions from Missing Data ACML 2017 Speaker Verification via Estimating Total Variability Space Using Probabilistic Partial Least Squares Interspeech 2017 SVD-Based Screening for the Graphical Lasso IJCAI 2017 Tomography of the London Underground: a Scalable Model for Origin-Destination Data NeurIPS 2017 Zero-Inflated Exponential Family Embeddings ICML 2017 A Bayesian model for joint word alignment and part-of-speech transfer COLING 2016 Accelerated Generative Models for 3D Point Cloud Data CVPR 2016 A Continuous Occlusion Model for Road Scene Understanding CVPR 2016 A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets COLING 2016 A Probabilistic Collaborative Representation Based Approach for Pattern Classification CVPR 2016 A Probabilistic Framework for Deep Learning NeurIPS 2016 Bayesian group factor analysis with structured sparsity JMLR 2016 Better call Saul: Flexible Programming for Learning and Inference in NLP COLING 2016 Beyond Exchangeability: The Chinese Voting Process NeurIPS 2016 Black-Box Alpha Divergence Minimization ICML 2016 Compressing Bayes Net CPTs with Persistent Leaky Causes PGM 2016 Conditional Bernoulli Mixtures for Multi-label Classification ICML 2016 Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity CVPR 2016