conftrace_

bayesian linear regression

16 papers

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BLR

Co-occurring keywords

gaussian process (1200) posterior distribution (259) high-dimensional regression (142) uncertainty quantification (1393) bayesian inference (1907) variational inference (2069) differential privacy (1016) human function learning (1) associative learning (3) function learning (11)

Papers

G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) AAAI 2024
Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression NIPS 2023
Differentially Private Distributed Bayesian Linear Regression with MCMC ICML 2023
A Quadrature Rule combining Control Variates and Adaptive Importance Sampling NIPS 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
Incremental Elicitation of Rank-Dependent Aggregation Functions based on Bayesian Linear Regression IJCAI 2019
Differentially Private Bayesian Linear Regression NIPS 2019
Relation Induction in Word Embeddings Revisited COLING 2018
Scalable Hyperparameter Transfer Learning NIPS 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 NIPS 2008