← Bayesian & Probabilistic
Artificial Intelligence › Bayesian & Probabilistic ›

Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Band-Limited Gaussian Processes: The Sinc Kernel NIPS 2019
Model Comparison for Semantic Grouping ICML 2019
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms NIPS 2019
Expressive power of tensor-network factorizations for probabilistic modeling NIPS 2019
Estimating Convergence of Markov chains with L-Lag Couplings NIPS 2019
Cross-sectional Learning of Extremal Dependence among Financial Assets NIPS 2019
Kernel quadrature with DPPs NIPS 2019
Tensor Monte Carlo: Particle Methods for the GPU era NIPS 2019
A neurally plausible model for online recognition and postdiction in a dynamical environment NIPS 2019
Recovering Bandits NIPS 2019
Smoothing Structured Decomposable Circuits NIPS 2019
Learning Bayesian Networks with Low Rank Conditional Probability Tables NIPS 2019
Learning Hawkes Processes from a handful of events NIPS 2019
Tensorial Change Analysis Using Probabilistic Tensor Regression AAAI 2019
Combining Generative and Discriminative Models for Hybrid Inference NIPS 2019
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation NIPS 2019
Minimum Stein Discrepancy Estimators NIPS 2019
Markov Random Fields for Collaborative Filtering NIPS 2019
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction JMLR 2019
An Algorithm to Learn Polytree Networks with Hidden Nodes NIPS 2019
Variational Hierarchical User-based Conversation Model EMNLP 2019
Evidence-based Trustworthiness ACL 2019
Compound Probabilistic Context-Free Grammars for Grammar Induction ACL 2019
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective AAAI 2019
AutoSense Model for Word Sense Induction AAAI 2019