bayesian linear regression

An Instrumental Value for Data Production and its Application to Data Pricing ICML 2025 G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) AAAI 2024 Differentially Private Distributed Bayesian Linear Regression with MCMC ICML 2023 Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression NeurIPS 2023 A Quadrature Rule combining Control Variates and Adaptive Importance Sampling NeurIPS 2022 Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems L4DC 2022 Variational Inference in high-dimensional linear regression JMLR 2022 Faster Kernel Interpolation for Gaussian Processes AISTATS 2021 Model-based Reinforcement Learning for Continuous Control with Posterior Sampling ICML 2021 A Bayesian Approach for Estimating Causal Effects from Observational Data AAAI 2020 Differentially Private Bayesian Linear Regression NeurIPS 2019 Incremental Elicitation of Rank-Dependent Aggregation Functions based on Bayesian Linear Regression IJCAI 2019 Relation Induction in Word Embeddings Revisited COLING 2018 Scalable Hyperparameter Transfer Learning NeurIPS 2018 Identifying Good Training Data for Self-Supervised Free Space Estimation CVPR 2016 Quasi-Newton Method: A New Direction JMLR 2013 Modeling human function learning with Gaussian processes NeurIPS 2008