Bayesian Inference

Sampling in High-Dimensions using Stochastic Interpolants and Forward-Backward Stochastic Differential Equations AISTATS 2025 Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models AISTATS 2025 Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation UAI 2025 Surprise Calibration for Better In-Context Learning EMNLP 2025 Temperature Optimization for Bayesian Deep Learning UAI 2025 Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models ACL 2025 Theoretical proposal for a unified Bayesian model of adaptation in non-interactive and interactive speech production Interspeech 2025 TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data AAAI 2025 Towards a Bayesian hierarchical model of lexical processing NAACL 2025 Tuning-Free Coreset Markov Chain Monte Carlo via Hot DoG UAI 2025 Uncertainty-driven Partial Diacritization for Arabic Text EMNLP 2025 Unconditionally Calibrated Priors for Beta Mixture Density Networks AISTATS 2025 Variation Due to Regularization Tractably Recovers Bayesian Deep Learning Uncertainty AISTATS 2025 Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations ICLR 2025 Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context AISTATS 2025 Well-Defined Function-Space Variational Inference in Bayesian Neural Networks via Regularized KL-Divergence UAI 2025 What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization AISTATS 2025 A Bayesian Approach to Data Point Selection NeurIPS 2024 A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution EMNLP 2024 A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing AAAI 2024 Abductive Reasoning in Logical Credal Networks NeurIPS 2024 A Divide and Conquer Approach for Solving Structural Causal Models PGM 2024 A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024 A Generalized Bayesian Approach to Distribution-on-Distribution Regression UAI 2024 A Metalearned Neural Circuit for Nonparametric Bayesian Inference NeurIPS 2024