conftrace_

hyperparameter estimation

9 papers

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gaussian process (4) empirical baye (2) kernel methods (2) cross validation (1) importance sampling (1) map estimation (1) generalization error (1) particle filter (1) bayesian regression (1) bayesian filtering (1)

Papers

Fenrir: Physics-Enhanced Regression for Initial Value Problems ICML 2022 Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits JMLR 2022 Learning a Non-Blind Deblurring Network for Night Blurry Images CVPR 2021 Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes NeurIPS 2020 Principled Selection of Hyperparameters in the Latent Dirichlet Allocation Model JMLR 2018 A Marginalized Particle Gaussian Process Regression NeurIPS 2012 Dual-Space Analysis of the Sparse Linear Model NeurIPS 2012 Gaussian Processes for Signal Strength-Based Location Estimation RSS 2006 Tighter PAC-Bayes Bounds NeurIPS 2006