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Bayesian & Probabilistic

3,963 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,252) Variational Inference (802) Gaussian Processes (570) Bayesian Learning (455) Bayesian Optimization (221) Markov Chain Monte Carlo (143) Nonparametric Bayesian (86) Bayesian Networks (81) Conditional Random Fields (5)

Papers per year

9
118
124
394
151
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Papers (including subtopics)

Bayesian Optimization for Policy Search via Online-Offline Experimentation JMLR 2019
A Particle-Based Variational Approach to Bayesian Non-negative Matrix Factorization JMLR 2019
Exact Gaussian Processes on a Million Data Points NIPS 2019
End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations UAI 2019
Variational Bayes under Model Misspecification NIPS 2019
Compound Probabilistic Context-Free Grammars for Grammar Induction ACL 2019
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs NIPS 2019
Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics AAAI 2019
Doubly Semi-Implicit Variational Inference AISTATS 2019
Learning Diverse Bayesian Networks AAAI 2019
Amortized Bethe Free Energy Minimization for Learning MRFs NIPS 2019
Enhancing Unsupervised Generative Dependency Parser with Contextual Information ACL 2019
Approximate Causal Abstractions UAI 2019
Tensorial Change Analysis Using Probabilistic Tensor Regression AAAI 2019
Safe Exploration for Interactive Machine Learning NIPS 2019
Real-Time Information-Theoretic Exploration with Gaussian Mixture Model Maps RSS 2019
Estimating Convergence of Markov chains with L-Lag Couplings NIPS 2019
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods NIPS 2019
Learning from demonstration with model-based Gaussian process CORL 2019
Reachable Space Characterization of Markov Decision Processes with Time Variability RSS 2019
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data AAAI 2019
Deep Convolutional Sum-Product Networks AAAI 2019
Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models AISTATS 2019
Cost Effective Active Search NIPS 2019
SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019