← Bayesian & Probabilistic
Machine Learning › Bayesian & Probabilistic ›

Probabilistic Modeling

1884 directly classified papers

Papers per year

Papers

Sampling from a k-DPP without looking at all items NIPS 2020
Testing Determinantal Point Processes NIPS 2020
On Tractable Computation of Expected Predictions NIPS 2019
Convergence of Gaussian Belief Propagation Under General Pairwise Factorization: Connecting Gaussian MRF with Pairwise Linear Gaussian Model JMLR 2019
The Functional Neural Process NIPS 2019
Minimum Stein Discrepancy Estimators NIPS 2019
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming ACL 2019
An Algorithm to Learn Polytree Networks with Hidden Nodes NIPS 2019
Expressive power of tensor-network factorizations for probabilistic modeling NIPS 2019
Learning Nonsymmetric Determinantal Point Processes NIPS 2019
Cross-sectional Learning of Extremal Dependence among Financial Assets NIPS 2019
Early-Stopping of Scattering Pattern Observation with Bayesian Modeling AAAI 2019
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation NIPS 2019
Flexible Modeling of Diversity with Strongly Log-Concave Distributions NIPS 2019
Amortized Bethe Free Energy Minimization for Learning MRFs NIPS 2019
Anytime Recursive Best-First Search for Bounding Marginal MAP AAAI 2019
Lifted Hinge-Loss Markov Random Fields AAAI 2019
Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms AAAI 2019
Adaptive Planning with Evidence Based Prediction for Improved Fluency in Routine Human-Robot Collaborative Tasks AAAI 2019
Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation AAAI 2019
Marginal Inference in Continuous Markov Random Fields Using Mixtures AAAI 2019
Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics AAAI 2019
Bayesian Execution Skill Estimation AAAI 2019
Document Informed Neural Autoregressive Topic Models with Distributional Prior AAAI 2019
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data AAAI 2019