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bayesian modeling

29 papers

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Co-occurring keywords

bayesian inference (1907) variational inference (2069) gaussian process (1200) uncertainty estimation (648) markov chain monte carlo (725) text classification (6793) bayesian learning (185) probabilistic modeling (852) document segmentation (23) vowel merger (2)

Papers

Modelling Populations of Interaction Networks via Distance Metrics JMLR 2025
Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations EACL 2024
Modelled Multivariate Overlap: A method for measuring vowel merger INTERSPEECH 2024
A probability contrastive learning framework for 3D molecular representation learning NIPS 2024
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior AAAI 2024
Noise-Aware Statistical Inference with Differentially Private Synthetic Data AISTATS 2023
Topical Segmentation of Spoken Narratives: A Test Case on Holocaust Survivor Testimonies EMNLP 2022
The Fewer Splits are Better: Deconstructing Readability in Sentence Splitting EMNLP 2022
Using Psychologically-Informed Priors for Suicide Prediction in the CLPsych 2021 Shared Task NAACL 2021
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling NIPS 2021
Generating Diverse Translation from Model Distribution with Dropout EMNLP 2020
Word-Level Uncertainty Estimation for Black-Box Text Classifiers using RNNs COLING 2020
Neuronal Gaussian Process Regression NIPS 2020
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes NIPS 2019
Early-Stopping of Scattering Pattern Observation with Bayesian Modeling AAAI 2019
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference NIPS 2019
BeamSeg: A Joint Model for Multi-Document Segmentation and Topic Identification CONLL 2019
Curious iLQR: Resolving Uncertainty in Model-based RL CORL 2019
Gaussian Process Models of Sound Change in Indo-Aryan Dialectology ACL 2019
Detecting Perspectives in Political Debates EMNLP 2017
Bayesian Modeling of Lexical Resources for Low-Resource Settings ACL 2017
Scalable Structure Discovery in Regression using Gaussian Processes AUTOML 2016
Bayesian Modeling in Speech Motor Control: A Principled Structure for the Integration of Various Constraints INTERSPEECH 2016
The Population Posterior and Bayesian Modeling on Streams NIPS 2015
Deep Gaussian Processes AISTATS 2013