bayesian inference

Bayesian Data Selection JMLR 2023 Bayesian Design Principles for Frequentist Sequential Learning ICML 2023 Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors NeurIPS 2023 Bayesian Federated Learning: A Survey IJCAI 2023 Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics UAI 2023 Bayesian inference for vertex-series-parallel partial orders UAI 2023 Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space NeurIPS 2023 Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval NeurIPS 2023 Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning EMNLP 2023 Bayesian online change point detection with Hilbert space approximate Student-t process ICML 2023 Bayesian Oracle for bounding information gain in neural encoding models ICLR 2023 Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph JMLR 2023 Bayesian Structure Scores for Probabilistic Circuits AISTATS 2023 Bayesian Variable Selection in a Million Dimensions AISTATS 2023 Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees JMLR 2023 Bayes Risk Transducer: Transducer with Controllable Alignment Prediction Interspeech 2023 BayesTune: Bayesian Sparse Deep Model Fine-tuning NeurIPS 2023 BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning AAAI 2023 Better Peer Grading through Bayesian Inference AAAI 2023 BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging ICLR 2023 But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI AISTATS 2023 Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability NeurIPS 2023 Calibrating Transformers via Sparse Gaussian Processes ICLR 2023 Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates ICML 2023 Collapsed Inference for Bayesian Deep Learning NeurIPS 2023