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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)

NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations AAAI 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences ICML 2020
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components AISTATS 2020
Introducing Routing Uncertainty in Capsule Networks NIPS 2020
Joints in Random Forests NIPS 2020
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics L4DC 2020
Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets NIPS 2020
Baxter Permutation Process NIPS 2020
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference EMNLP 2020
Scalable and Efficient Comparison-based Search without Features ICML 2020
The Potts-Ising model for discrete multivariate data NIPS 2020
Modeling Probabilistic Commitments for Maintenance Is Inherently Harder than for Achievement AAAI 2020
Adaptive Sampling for Stochastic Risk-Averse Learning NIPS 2020
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax NIPS 2020
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models NIPS 2020
Learnable Bernoulli Dropout for Bayesian Deep Learning AISTATS 2020
Healing Products of Gaussian Process Experts ICML 2020
Nonparametric Object and Parts Modeling With Lie Group Dynamics CVPR 2020
Factor Graph Neural Networks NIPS 2020
Distributionally Ambiguous Optimization for Batch Bayesian Optimization JMLR 2020
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout AISTATS 2020
Radial and Directional Posteriors for Bayesian Deep Learning AAAI 2020
Gaussianization Flows AISTATS 2020
Learning Probabilistic Sentence Representations from Paraphrases ACL 2020
Stationary Activations for Uncertainty Calibration in Deep Learning NIPS 2020