variational inference

A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective NeurIPS 2023 Approximate Bayesian Inference with Stein Functional Variational Gradient Descent ICLR 2023 Approximate inference of marginals using the IBIA framework NeurIPS 2023 A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract) AAAI 2023 A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods NeurIPS 2023 ARTree: A Deep Autoregressive Model for Phylogenetic Inference NeurIPS 2023 A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference AAAI 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 Automatic Tuning of Loss Trade-offs without Hyper-parameter Search in End-to-End Zero-Shot Speech Synthesis Interspeech 2023 A VAE for Transformers with Nonparametric Variational Information Bottleneck ICLR 2023 BaCaDI: Bayesian Causal Discovery with Unknown Interventions AISTATS 2023 BayesDAG: Gradient-Based Posterior Inference for Causal Discovery NeurIPS 2023 Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors NeurIPS 2023 Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts ICML 2023 Bayesian Posterior Approximation With Stochastic Ensembles CVPR 2023 Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process ICML 2023 Bayesian Prompt Learning for Image-Language Model Generalization ICCV 2023 Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees JMLR 2023 Benchmarking Constraint Inference in Inverse Reinforcement Learning ICLR 2023 BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning AAAI 2023 Beta Diffusion NeurIPS 2023 Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval ACL 2023