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asymptotic bia

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Co-occurring keywords · papers mentioning both

mean squared error (2) out-of-sample performance (1) plug-in approach (1) coverage accuracy (1) step size (1) variance analysis (1) weak convergence (1) distributionally robust estimator (1) poisson regression (1) constant step size (1)

Papers

Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning JMLR 2024 Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance? NeurIPS 2024 The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize NeurIPS 2024 On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract) IJCAI 2020 Exploration of the (Non-)Asymptotic Bias and Variance of Stochastic Gradient Langevin Dynamics JMLR 2016