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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

ColorCode: A Bayesian Approach to Augmentative and Alternative Communication with Two Buttons ACL 2022
TopWORDS-Seg: Simultaneous Text Segmentation and Word Discovery for Open-Domain Chinese Texts via Bayesian Inference ACL 2022
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization ICML 2022
Nonparametric Involutive Markov Chain Monte Carlo ICML 2022
Double Spike Dirichlet Priors for Structured Weighting JMLR 2022
Bayesian Invariant Risk Minimization CVPR 2022
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds AAAI 2022
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks INTERSPEECH 2022
Confidence Score Based Conformer Speaker Adaptation for Speech Recognition INTERSPEECH 2022
A General Recipe for Likelihood-free Bayesian Optimization ICML 2022
Low-Precision Stochastic Gradient Langevin Dynamics ICML 2022
Bayesian Recurrent Units and the Forward-Backward Algorithm INTERSPEECH 2022
Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes ICML 2022
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning ACL 2022
Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks AAAI 2022
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling JMLR 2022
Function-space Inference with Sparse Implicit Processes ICML 2022
ActPerFL: Active Personalized Federated Learning ACL 2022
Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization With a Bayesian Model CVPR 2022
FedPop: A Bayesian Approach for Personalised Federated Learning NIPS 2022
Posterior and Computational Uncertainty in Gaussian Processes NIPS 2022
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo JMLR 2021
GIBBON: General-purpose Information-Based Bayesian Optimisation JMLR 2021
Probabilistic Iterative Methods for Linear Systems JMLR 2021
Are We Forgetting about Compositional Optimisers in Bayesian Optimisation? JMLR 2021