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Bayesian Inference

5,566 papers

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Papers

Learning Cluster Causal Diagrams: An Information-Theoretic Approach IJCAI 2022
Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits IJCAI 2022
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework IJCAI 2022
Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All IJCAI 2022
Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent (Extended Abstract) IJCAI 2022
PInKS: Preconditioned Commonsense Inference with Minimal Supervision IJCNLP 2022
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks INTERSPEECH 2022
A Sparsity-promoting Dictionary Model for Variational Autoencoders INTERSPEECH 2022
Joint Estimation of Direction-of-Arrival and Distance for Arrays with Directional Sensors based on Sparse Bayesian Learning INTERSPEECH 2022
Uncertainty Calibration for Deep Audio Classifiers INTERSPEECH 2022
Bayesian Transformer Using Disentangled Mask Attention INTERSPEECH 2022
Confidence Score Based Conformer Speaker Adaptation for Speech Recognition INTERSPEECH 2022
Empirical Sampling from Latent Utterance-wise Evidence Model for Missing Data ASR based on Neural Encoder-Decoder Model INTERSPEECH 2022
Bayesian Recurrent Units and the Forward-Backward Algorithm INTERSPEECH 2022
Expressive, Variable, and Controllable Duration Modelling in TTS INTERSPEECH 2022
Speech Emotion Recognition via Generation using an Attention-based Variational Recurrent Neural Network INTERSPEECH 2022
Reducing uncertainty at the score-to-LR stage in likelihood ratio-based forensic voice comparison using automatic speaker recognition systems INTERSPEECH 2022
Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes JMLR 2022
Spatial Multivariate Trees for Big Data Bayesian Regression JMLR 2022
Fast and Robust Rank Aggregation against Model Misspecification JMLR 2022
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting JMLR 2022
A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One JMLR 2022
Score Matched Neural Exponential Families for Likelihood-Free Inference JMLR 2022
Analytically Tractable Hidden-States Inference in Bayesian Neural Networks JMLR 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization JMLR 2022