Probabilistic Modeling

Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations AAAI 2020 Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip AAAI 2020 Interactive Anomaly Detection in Mixed Tabular Data using Bayesian Networks PGM 2020 Interactive Learning with Proactive Cognition Enhancement for Crowd Workers AAAI 2020 Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model EMNLP 2020 Investigating Matureness of Probabilistic Graphical Models for Dry-Bulk Shipping PGM 2020 Joints in Random Forests NeurIPS 2020 Kernel-based Approach for Learning Causal Graphs from Mixed Data PGM 2020 Label Error Correction and Generation through Label Relationships AAAI 2020 Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings NeurIPS 2020 Latent Geographical Factors for Analyzing the Evolution of Dialects in Contact EMNLP 2020 Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification JMLR 2020 Learning decomposable models by coarsening PGM 2020 Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration NeurIPS 2020 Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality JMLR 2020 Learning from Positive and Unlabeled Data without Explicit Estimation of Class Prior AAAI 2020 Learning General Latent-Variable Graphical Models with Predictive Belief Propagation AAAI 2020 Learning Informative Representations of Biomedical Relations with Latent Variable Models EMNLP 2020 Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders UAI 2020 Learning Probabilistic Sentence Representations from Paraphrases ACL 2020 Learning Restricted Boltzmann Machines with Sparse Latent Variables NeurIPS 2020 Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting AAAI 2020 Learning VAE-LDA Models with Rounded Reparameterization Trick EMNLP 2020 Learning Weighted Model Integration Distributions AAAI 2020 Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders CVPR 2020