Probabilistic Modeling

Hierarchical Discrete Distribution Decomposition for Match Density Estimation CVPR 2019 High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes NeurIPS 2019 How to Exploit Structure while Solving Weighted Model Integration Problems UAI 2019 Identifiability of Generalized Hypergeometric Distribution (GHD) Directed Acyclic Graphical Models AISTATS 2019 Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning IJCAI 2019 Inference and Sampling of K_33-free Ising Models ICML 2019 Inferring Multidimensional Rates of Aging from Cross-Sectional Data AISTATS 2019 Information Theoretic lower bounds on negative log likelihood ICLR 2019 Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms AAAI 2019 Ising Models with Latent Conditional Gaussian Variables ALT 2019 Kernel Exponential Family Estimation via Doubly Dual Embedding AISTATS 2019 Kernel quadrature with DPPs NeurIPS 2019 Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features AISTATS 2019 Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition Interspeech 2019 Latent Dirichlet Allocation for Internet Price War AAAI 2019 Latent Variable Sentiment Grammar ACL 2019 Learning Bayesian Networks with Low Rank Conditional Probability Tables NeurIPS 2019 Learning Determinantal Point Processes by Corrective Negative Sampling AISTATS 2019 Learning Diffusions without Timestamps AAAI 2019 Learning Diverse Bayesian Networks AAAI 2019 Learning Hawkes Processes from a handful of events NeurIPS 2019 Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds EMNLP 2019 Learning Models from Data with Measurement Error: Tackling Underreporting ICML 2019 Learning Plackett-Luce Mixtures from Partial Preferences AAAI 2019 Learning Reward Machines for Partially Observable Reinforcement Learning NeurIPS 2019