Bayesian Learning
1,734 papers
Papers per year
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Papers
A Bayesian nonparametric approach to count-min sketch under power-law data streams
AISTATS 2021
A Bayesian nonparametric conditional two-sample test with an application to Local Causal Discovery
UAI 2021
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
NeurIPS 2021
A Bayes-Optimal View on Adversarial Examples
JMLR 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
ICML 2021
Active Learning of Continuous-time Bayesian Networks through Interventions
ICML 2021
A Discriminative Gaussian Mixture Model with Sparsity
ICLR 2021
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance
NeurIPS 2021
AFEC: Active Forgetting of Negative Transfer in Continual Learning
NeurIPS 2021
Age Estimation with Speech-Age Model for Heterogeneous Speech Datasets
Interspeech 2021
Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler
JMLR 2021
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning
NeurIPS 2021
A sampling-based circuit for optimal decision making
NeurIPS 2021
Asymptotic Normality, Concentration, and Coverage of Generalized Posteriors
JMLR 2021
Asymptotics of representation learning in finite Bayesian neural networks
NeurIPS 2021
Asynchronous $ε$-Greedy Bayesian Optimisation
UAI 2021
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction
IJCAI 2021
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain
NeurIPS 2021
Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty
AISTATS 2021
Bayesian Argumentation-Scheme Networks: A Probabilistic Model of Argument Validity Facilitated by Argumentation Schemes
EMNLP 2021
Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective
AISTATS 2021
Bayesian decision-making under misspecified priors with applications to meta-learning
NeurIPS 2021
Bayesian Deep Basis Fitting for Depth Completion With Uncertainty
ICCV 2021
Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization
AAAI 2021
Bayesian Experience Reuse for Learning from Multiple Demonstrators
IJCAI 2021