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Uncertainty Quantification

106 directly classified papers

Papers per year

Papers

Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control NIPS 2019
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates NIPS 2019
Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models JMLR 2016
Large-scale probabilistic predictors with and without guarantees of validity NIPS 2015
A Stepwise uncertainty reduction approach to constrained global optimization AISTATS 2014
Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NIPS 2010