Bayesian Inference

Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024 Constrained Sampling with Primal-Dual Langevin Monte Carlo NeurIPS 2024 Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation NeurIPS 2024 Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm NeurIPS 2024 Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning NeurIPS 2024 Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024 Estimating the Hallucination Rate of Generative AI NeurIPS 2024 Evaluating Bayesian deep learning for radio galaxy classification UAI 2024 Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning ICLR 2024 Faster Perfect Sampling of Bayesian Network Structures UAI 2024 Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching NeurIPS 2024 FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning NeurIPS 2024 Full Bayesian Significance Testing for Neural Networks AAAI 2024 Functional Wasserstein Bridge Inference for Bayesian Deep Learning UAI 2024 Fundamental Limits of Non-Linear Low-Rank Matrix Estimation COLT 2024 Gated Inference Network: Inference and Learning State-Space Models NeurIPS 2024 Geometric No-U-Turn Samplers: Concepts and Evaluation PGM 2024 Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding ACL 2024 Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling AAAI 2024 Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control ICLR 2024 Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation AAAI 2024 Intervention and Conditioning in Causal Bayesian Networks NeurIPS 2024 Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems UAI 2024 Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited ICLR 2024 Learning relevant contextual variables within Bayesian optimization UAI 2024