bayesian modeling

A Bayesian Approach to L2 Fluency Ratings by Native and Nonnative Listeners Interspeech 2025 Modelling Populations of Interaction Networks via Distance Metrics JMLR 2025 A probability contrastive learning framework for 3D molecular representation learning NeurIPS 2024 Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations EACL 2024 Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior AAAI 2024 Modelled Multivariate Overlap: A method for measuring vowel merger Interspeech 2024 Noise-Aware Statistical Inference with Differentially Private Synthetic Data AISTATS 2023 The Fewer Splits are Better: Deconstructing Readability in Sentence Splitting EMNLP 2022 Topical Segmentation of Spoken Narratives: A Test Case on Holocaust Survivor Testimonies EMNLP 2022 Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling NeurIPS 2021 Using Psychologically-Informed Priors for Suicide Prediction in the CLPsych 2021 Shared Task NAACL 2021 Generating Diverse Translation from Model Distribution with Dropout EMNLP 2020 Neuronal Gaussian Process Regression NeurIPS 2020 Word-Level Uncertainty Estimation for Black-Box Text Classifiers using RNNs COLING 2020 BeamSeg: A Joint Model for Multi-Document Segmentation and Topic Identification CoNLL 2019 Curious iLQR: Resolving Uncertainty in Model-based RL CoRL 2019 Early-Stopping of Scattering Pattern Observation with Bayesian Modeling AAAI 2019 Gaussian Process Models of Sound Change in Indo-Aryan Dialectology ACL 2019 Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes NeurIPS 2019 Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference NeurIPS 2019 Bayesian Modeling of Lexical Resources for Low-Resource Settings ACL 2017 Detecting Perspectives in Political Debates EMNLP 2017 Bayesian Modeling in Speech Motor Control: A Principled Structure for the Integration of Various Constraints Interspeech 2016 Scalable Structure Discovery in Regression using Gaussian Processes AutoML 2016 The Population Posterior and Bayesian Modeling on Streams NeurIPS 2015