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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation NIPS 2019
Learning Models from Data with Measurement Error: Tackling Underreporting ICML 2019
A Bayesian Approach for Sequence Tagging with Crowds IJCNLP 2019
Sequential Neural Processes NIPS 2019
Online Probabilistic Goal Recognition over Nominal Models IJCAI 2019
A Probabilistic Generative Model of Linguistic Typology NAACL 2019
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees AAAI 2019
Fingerprint Policy Optimisation for Robust Reinforcement Learning ICML 2019
Gaussian Process Models of Sound Change in Indo-Aryan Dialectology ACL 2019
Scalable Training of Inference Networks for Gaussian-Process Models ICML 2019
That’s Mine! Learning Ownership Relations and Norms for Robots AAAI 2019
A Flexible Generative Framework for Graph-based Semi-supervised Learning NIPS 2019
Chasing Ghosts: Instruction Following as Bayesian State Tracking NIPS 2019
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows AISTATS 2019
Kernel quadrature with DPPs NIPS 2019
End-to-End Probabilistic Inference for Nonstationary Audio Analysis ICML 2019
Learning Bayesian Networks with Low Rank Conditional Probability Tables NIPS 2019
Bayesian Layers: A Module for Neural Network Uncertainty NIPS 2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions UAI 2019
Learning Hawkes Processes from a handful of events NIPS 2019
Markov Random Fields for Collaborative Filtering NIPS 2019
Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition INTERSPEECH 2019
Recovering Bandits NIPS 2019
Structured Bayesian Networks: From Inference to Learning with Routes AAAI 2019
Probabilistic Deep Ordinal Regression Based on Gaussian Processes ICCV 2019