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Probabilistic Modeling

2591 directly classified papers

Papers per year

Papers

Graphical model inference: Sequential Monte Carlo meets deterministic approximations NIPS 2018
Predictive Uncertainty Estimation via Prior Networks NIPS 2018
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data NIPS 2018
Exponentiated Strongly Rayleigh Distributions NIPS 2018
Distributionally Robust Graphical Models NIPS 2018
The Mean-Field Approximation: Information Inequalities, Algorithms, and Complexity COLT 2018
Stein Variational Gradient Descent as Moment Matching NIPS 2018
Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks NIPS 2018
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures ACL 2018
Variational Bayesian Monte Carlo NIPS 2018
Learning and Inference in Hilbert Space with Quantum Graphical Models NIPS 2018
Algebraic tests of general Gaussian latent tree models NIPS 2018
GP CaKe: Effective brain connectivity with causal kernels NIPS 2017
Grounding Abstract Spatial Concepts for Language Interaction with Robots IJCAI 2017
Order Statistics for Probabilistic Graphical Models IJCAI 2017
Sequential Graph Matching with Sequential Monte Carlo AISTATS 2017
Time-dependent spatially varying graphical models, with application to brain fMRI data analysis NIPS 2017
Probabilistic Rule Realization and Selection NIPS 2017
Reliable Decision Support using Counterfactual Models NIPS 2017
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models NIPS 2017
Segment-Level Neural Conditional Random Fields for Named Entity Recognition IJCNLP 2017
Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge EACL 2017
A Computational Model of Human Preferences for Pronoun Resolution EACL 2017
JU CSE NLP @ SemEval 2017 Task 7: Employing Rules to Detect and Interpret English Puns SEMEVAL 2017
Probabilistic Inference in Hybrid Domains IJCAI 2017