Bayesian Inference

An Analytic Solution to Covariance Propagation in Neural Networks AISTATS 2024 A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models NeurIPS 2024 An Interpretable Evaluation of Entropy-based Novelty of Generative Models ICML 2024 An Iterative Min-Min Optimization Method for Sparse Bayesian Learning ICML 2024 A Persuasive Approach to Combating Misinformation ICML 2024 Approximate Bayesian Class-Conditional Models under Continuous Representation Shift AISTATS 2024 Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC JMLR 2024 Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient NeurIPS 2024 Approximation-Aware Bayesian Optimization NeurIPS 2024 Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2024 Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition Interspeech 2024 A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules? ICML 2024 A Study of Bayesian Neural Network Surrogates for Bayesian Optimization ICLR 2024 A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences NeurIPS 2024 A Unified View of FANOVA: A Comprehensive Bayesian Framework for Component Selection and Estimation ICML 2024 A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems NeurIPS 2024 A Unifying Variational Framework for Gaussian Process Motion Planning AISTATS 2024 autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm AISTATS 2024 A Variational Approach to Bayesian Phylogenetic Inference JMLR 2024 A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error ICLR 2024 A Variational Perspective on Solving Inverse Problems with Diffusion Models ICLR 2024 Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models AISTATS 2024 Batch and match: black-box variational inference with a score-based divergence ICML 2024 Batched Energy-Entropy acquisition for Bayesian Optimization NeurIPS 2024 Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information ICLR 2024