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Bayesian Inference

4,821 papers

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Papers

Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation ACL 2021
Modeling Bilingual Conversational Characteristics for Neural Chat Translation ACL 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts ACL 2021
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL 2021
Continual Quality Estimation with Online Bayesian Meta-Learning ACL 2021
Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation ACL 2021
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation ACL 2021
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation ACL 2021
Scalable gradient matching based on state space Gaussian Processes ACML 2021
Bayesian neural network unit priors and generalized Weibull-tail property ACML 2021
$K^2$-GNN: Multiple Users’ Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks ACML 2021
Bayesian nonparametric model for arbitrary cubic partitioning ACML 2021
Bayesian Inference for Optimal Transport with Stochastic Cost ACML 2021
Accelerating Metropolis-Hastings with Lightweight Inference Compilation AISTATS 2021
Benchmarking Simulation-Based Inference AISTATS 2021
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions AISTATS 2021
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes AISTATS 2021
Foundations of Bayesian Learning from Synthetic Data AISTATS 2021
On the Role of Data in PAC-Bayes Bounds AISTATS 2021
Automatic structured variational inference AISTATS 2021
Improving predictions of Bayesian neural nets via local linearization AISTATS 2021
Scalable Constrained Bayesian Optimization AISTATS 2021
Efficient Computation and Analysis of Distributional Shapley Values AISTATS 2021
Multi-Fidelity High-Order Gaussian Processes for Physical Simulation AISTATS 2021
Mean-Variance Analysis in Bayesian Optimization under Uncertainty AISTATS 2021