Probabilistic Modeling

Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation NeurIPS 2018 Identification of Alias Links among Participants in Narratives ACL 2018 Implicit Quantile Networks for Distributional Reinforcement Learning ICML 2018 Inferring Latent Velocities from Weather Radar Data using Gaussian Processes NeurIPS 2018 Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis AISTATS 2018 Intervals of Causal Effects for Learning Causal Graphical Models PGM 2018 Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization IJCAI 2018 Joint Posterior Revision of NLP Annotations via Ontological Knowledge IJCAI 2018 Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments NeurIPS 2018 Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond AISTATS 2018 Learning a latent manifold of odor representations from neural responses in piriform cortex NeurIPS 2018 Learning and Inference in Hilbert Space with Quantum Graphical Models NeurIPS 2018 Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra NeurIPS 2018 Learning Determinantal Point Processes in Sublinear Time AISTATS 2018 Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types COLING 2018 Learning in Integer Latent Variable Models with Nested Automatic Differentiation ICML 2018 Learning Latent Permutations with Gumbel-Sinkhorn Networks ICLR 2018 Learning Registered Point Processes from Idiosyncratic Observations ICML 2018 Learning Robust Gaussian Process Regression for Visual Tracking IJCAI 2018 Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem NeurIPS 2018 Learning Structural Weight Uncertainty for Sequential Decision-Making AISTATS 2018 Lifted Weighted Mini-Bucket NeurIPS 2018 Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations EMNLP 2018 Log-concave sampling: Metropolis-Hastings algorithms are fast! COLT 2018 Making Continuous Time Bayesian Networks More Flexible PGM 2018