Bayesian Inference
1,087 papers
Papers per year
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28
33
40
39
33
38
52
63
58
43
49
23
27
48
52
52
67
55
94
91
101
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Papers
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization
AISTATS 2023
Reanalyzing L2 Preposition Learning with Bayesian Mixed Effects and a Pretrained Language Model
ACL 2023
Riemannian Laplace approximations for Bayesian neural networks
NeurIPS 2023
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data
ICLR 2023
Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers
AAAI 2023
SAM as an Optimal Relaxation of Bayes
ICLR 2023
Score-based Data Assimilation
NeurIPS 2023
Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference
AAAI 2023
Structure Learning with Adaptive Random Neighborhood Informed MCMC
NeurIPS 2023
Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system
NeurIPS 2023
The Fine Print on Tempered Posteriors
ACML 2023
The neural dynamics of word recognition and integration
EMNLP 2023
TopWORDS-Poetry: Simultaneous Text Segmentation and Word Discovery for Classical Chinese Poetry via Bayesian Inference
EMNLP 2023
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework
AISTATS 2023
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding
EMNLP 2023
Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information
ACL 2023
A Convergence Theory for SVGD in the Population Limit under Talagrand’s Inequality T1
ICML 2022
Adapting Neural Models with Sequential Monte Carlo Dropout
CoRL 2022
A Direct Approximation of AIXI Using Logical State Abstractions
NeurIPS 2022
Adjoint-aided inference of Gaussian process driven differential equations
NeurIPS 2022
A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines
ICML 2022
Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization With a Bayesian Model
CVPR 2022
An Explanation of In-context Learning as Implicit Bayesian Inference
ICLR 2022
Approximate Bayesian Computation via Classification
JMLR 2022
A Reparameterization of Mixtures of Truncated Basis Functions and its Applications
PGM 2022