← Bayesian & Probabilistic
Artificial Intelligence › Bayesian & Probabilistic ›

Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Deep kernel processes ICML 2021
Gone Fishing: Neural Active Learning with Fisher Embeddings NIPS 2021
Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry AAAI 2021
MCMC Variational Inference via Uncorrected Hamiltonian Annealing NIPS 2021
Periodic Activation Functions Induce Stationarity NIPS 2021
Dangers of Bayesian Model Averaging under Covariate Shift NIPS 2021
What Are Bayesian Neural Network Posteriors Really Like? ICML 2021
The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective NIPS 2021
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models NIPS 2021
Turbocharging Treewidth-Bounded Bayesian Network Structure Learning AAAI 2021
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling ICML 2021
Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological Orderings AAAI 2021
Policy Gradient Bayesian Robust Optimization for Imitation Learning ICML 2021
Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems AAAI 2021
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain AISTATS 2021
Comparing Symbolic Models of Language via Bayesian Inference (Student Abstract) AAAI 2021
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning ICML 2021
Bayesian Structural Adaptation for Continual Learning ICML 2021
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning JMLR 2021
Learning the Parameters of Bayesian Networks from Uncertain Data AAAI 2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect NIPS 2021
Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization AAAI 2021
A Bayes-Optimal View on Adversarial Examples JMLR 2021
Tighter Risk Certificates for Neural Networks JMLR 2021
Matérn Gaussian Processes on Graphs AISTATS 2021