bayesian inference

Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy ICML 2023 Variational Inference for Deblending Crowded Starfields JMLR 2023 Variational Inference with Gaussian Score Matching NeurIPS 2023 Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations JMLR 2023 Vector-Valued Control Variates ICML 2023 Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information ACL 2023 A Bayesian Model for Online Activity Sample Sizes AISTATS 2022 A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One JMLR 2022 A Convergence Theory for SVGD in the Population Limit under Talagrand’s Inequality T1 ICML 2022 Active Bayesian Causal Inference NeurIPS 2022 ActPerFL: Active Personalized Federated Learning ACL 2022 Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks NeurIPS 2022 Adjoint-aided inference of Gaussian process driven differential equations NeurIPS 2022 Adversarial Interpretation of Bayesian Inference ALT 2022 A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines ICML 2022 Aligned Multi-Task Gaussian Process AISTATS 2022 Amortized Inference for Causal Structure Learning NeurIPS 2022 An Explanation of In-context Learning as Implicit Bayesian Inference ICLR 2022 An Optimization-centric View on Bayes' Rule: Reviewing and Generalizing Variational Inference JMLR 2022 Approximate Bayesian Computation with Domain Expert in the Loop ICML 2022 A Probabilistic Framework for Land Deformation Prediction (Student Abstract) AAAI 2022 A Quadrature Rule combining Control Variates and Adaptive Importance Sampling NeurIPS 2022 A Sparsity-promoting Dictionary Model for Variational Autoencoders Interspeech 2022 A Unified View on PAC-Bayes Bounds for Meta-Learning ICML 2022 A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits AAAI 2022