Bayesian & Probabilistic
5,407 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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9
71
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96
90
127
113
152
198
196
168
213
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273
389
460
470
455
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385
273
2000
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Papers (including subtopics)
Efficient learning of smooth probability functions from Bernoulli tests with guarantees
ICML 2019
Efficient Neutrino Oscillation Parameter Inference with Gaussian Process
AAAI 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables
ICML 2019
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
NeurIPS 2019
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models
NAACL 2019
Embarrassingly Parallel Inference for Gaussian Processes
JMLR 2019
EM-Fusion: Dynamic Object-Level SLAM With Probabilistic Data Association
ICCV 2019
End-to-End Probabilistic Inference for Nonstationary Audio Analysis
ICML 2019
Enhanced Bayesian Compression via Deep Reinforcement Learning
CVPR 2019
Estimating Convergence of Markov chains with L-Lag Couplings
NeurIPS 2019
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective
AAAI 2019
Evidence-based Trustworthiness
ACL 2019
Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation
AAAI 2019
Exact Gaussian Processes on a Million Data Points
NeurIPS 2019
Exploiting Worker Correlation for Label Aggregation in Crowdsourcing
ICML 2019
Expressive power of tensor-network factorizations for probabilistic modeling
NeurIPS 2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions
UAI 2019
Face Alignment With Kernel Density Deep Neural Network
ICCV 2019
Fast and Flexible Inference of Joint Distributions from their Marginals
ICML 2019
Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay
NeurIPS 2019
Faster Attend-Infer-Repeat with Tractable Probabilistic Models
ICML 2019
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs
AAAI 2019
Feed-forward Propagation in Probabilistic Neural Networks with Categorical and Max Layers
ICLR 2019
Finding All Bayesian Network Structures within a Factor of Optimal
AAAI 2019
Fingerprint Policy Optimisation for Robust Reinforcement Learning
ICML 2019