Bayesian Inference

Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization ICML 2024 Defense against Model Extraction Attack by Bayesian Active Watermarking ICML 2024 Delta-AI: Local objectives for amortized inference in sparse graphical models ICLR 2024 Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NeurIPS 2024 Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts ICML 2024 Density Uncertainty Layers for Reliable Uncertainty Estimation AISTATS 2024 Differentially private methods for managing model uncertainty in linear regression JMLR 2024 Differentially Private Reward Estimation with Preference Feedback AISTATS 2024 Diffusion Models With Learned Adaptive Noise NeurIPS 2024 Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective ICLR 2024 Diffusion Posterior Sampling is Computationally Intractable ICML 2024 Diffusion Priors for Variational Likelihood Estimation and Image Denoising NeurIPS 2024 Diffusive Gibbs Sampling ICML 2024 Direct Amortized Likelihood Ratio Estimation AAAI 2024 Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding NAACL 2024 Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024 Dirichlet process mixture model based on topologically augmented signal representation for clustering infant vocalizations Interspeech 2024 Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024 Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors NeurIPS 2024 DNSMOS Pro: A Reduced-Size DNN for Probabilistic MOS of Speech Interspeech 2024 Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning NeurIPS 2024 Domain constraints improve risk prediction when outcome data is missing ICLR 2024 Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024 Don’t Waste Your Time: Early Stopping Cross-Validation AutoML 2024 Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data NeurIPS 2024