← Bayesian & Probabilistic
Artificial Intelligence › Bayesian & Probabilistic ›

Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Asymptotics of representation learning in finite Bayesian neural networks NIPS 2021
Age Estimation with Speech-Age Model for Heterogeneous Speech Datasets INTERSPEECH 2021
Learning the Parameters of Bayesian Networks from Uncertain Data AAAI 2021
Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection CVPR 2021
AFEC: Active Forgetting of Negative Transfer in Continual Learning NIPS 2021
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation NIPS 2021
Location Trace Privacy Under Conditional Priors AISTATS 2021
Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization AAAI 2021
Value-at-Risk Optimization with Gaussian Processes ICML 2021
Bayesian Argumentation-Scheme Networks: A Probabilistic Model of Argument Validity Facilitated by Argumentation Schemes EMNLP 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021
Collaborative Bayesian Optimization with Fair Regret ICML 2021
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021
Mercer Features for Efficient Combinatorial Bayesian Optimization AAAI 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification NIPS 2021
Optimal Thompson Sampling strategies for support-aware CVaR bandits ICML 2021
Comparing Symbolic Models of Language via Bayesian Inference (Student Abstract) AAAI 2021
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning ICML 2021
A Bayes-Optimal View on Adversarial Examples JMLR 2021
Gone Fishing: Neural Active Learning with Fisher Embeddings NIPS 2021
MOTS: Minimax Optimal Thompson Sampling ICML 2021
No-Regret Algorithms for Private Gaussian Process Bandit Optimization AISTATS 2021
Lenient Regret and Good-Action Identification in Gaussian Process Bandits ICML 2021
Bayesian Structural Adaptation for Continual Learning ICML 2021
Overcoming Catastrophic Forgetting by Bayesian Generative Regularization ICML 2021