Bayesian Inference

A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks AAAI 2023 A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness JMLR 2023 A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets AISTATS 2023 Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression NeurIPS 2023 A Targeted Accuracy Diagnostic for Variational Approximations AISTATS 2023 A Theoretical Framework for Inference and Learning in Predictive Coding Networks ICLR 2023 A theory of continuous generative flow networks ICML 2023 A theory of representation learning gives a deep generalisation of kernel methods ICML 2023 A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds JMLR 2023 Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery AISTATS 2023 Automatically marginalized MCMC in probabilistic programming ICML 2023 Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle ICCV 2023 A VAE for Transformers with Nonparametric Variational Information Bottleneck ICLR 2023 BaCaDI: Bayesian Causal Discovery with Unknown Interventions AISTATS 2023 Backpropagation Path Search On Adversarial Transferability ICCV 2023 BANSAC: A Dynamic BAyesian Network for Adaptive SAmple Consensus ICCV 2023 BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning IJCAI 2023 Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization NeurIPS 2023 BayesDAG: Gradient-Based Posterior Inference for Causal Discovery NeurIPS 2023 Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors JMLR 2023 Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization AAAI 2023 Bayesian Data Selection JMLR 2023 Bayesian Design Principles for Frequentist Sequential Learning ICML 2023 Bayesian Estimation of Differential Privacy ICML 2023 Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors NeurIPS 2023