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bayesian estimation

45 papers

Papers

ACE: Adapting sampling for Counterfactual Explanations L4DC 2026 Efficient Hallucination Detection: Adaptive Bayesian Estimation of Semantic Entropy with Guided Semantic Exploration AAAI 2026 Online Adaptive Probabilistic Safety Certificate with Language Guidance L4DC 2026 PAGPL: Privacy-Aware Graph Prompt Learning Scheme via Adaptive Perturbation-Estimated Topology Recovery AAAI 2026 PTC-Depth: Pose-Refined Monocular Depth Estimation with Temporal Consistency CVPR 2026 From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation ICLR 2025 Scalable and Adaptive Variational Bayes Methods for Hawkes Processes JMLR 2025 A Bayesian Quantification of Aporophobia and the Aggravating Effect of Low–Wealth Contexts on Stigmatization NAACL 2024 Bayesian Estimation of Differential Privacy ICML 2023 Convergence Rates of a Class of Multivariate Density Estimation Methods Based on Adaptive Partitioning JMLR 2023 Safe Sequential Testing and Effect Estimation in Stratified Count Data AISTATS 2023 Confidence Score Based Conformer Speaker Adaptation for Speech Recognition Interspeech 2022 Estimating Causal Effects under Network Interference with Bayesian Generalized Propensity Scores JMLR 2022 Fast Bayesian Estimation of Point Process Intensity as Function of Covariates NeurIPS 2022 Learning from Stochastically Revealed Preference NeurIPS 2022 Self-Supervised Deep Image Restoration via Adaptive Stochastic Gradient Langevin Dynamics CVPR 2022 Automatic Error Correction for Speaker Embedding Learning with Noisy Labels Interspeech 2021 Quantile Graphical Models: a Bayesian Approach JMLR 2020 Maximum a posteriori Speech Enhancement Based on Double Spectrum Interspeech 2019 On the Use of Pitch Features for Disordered Speech Recognition Interspeech 2019 RankME: Reliable Human Ratings for Natural Language Generation NAACL 2018 Doubly Decomposing Nonparametric Tensor Regression ICML 2016 A Statistical Decision-Theoretic Framework for Social Choice NeurIPS 2014 Bayesian Estimation of Causal Direction in Acyclic Structural Equation Models with Individual-specific Confounder Variables and Non-Gaussian Distributions JMLR 2014 Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations ICML 2014