conftrace_

variance estimation

46 papers

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Co-occurring keywords

neural network (6616) uncertainty quantification (1393) confidence interval (146) hypothesis testing (254) off-policy evaluation (144) reinforcement learning (4352) learning theory (519) multi-armed bandit (1098) asymptotic normality (66) uncertainty estimation (648)

Papers

Empirical bounds for functions with weak interactions COLT 2018
Importance Sampling for Fair Policy Selection IJCAI 2018
Streaming kernel regression with provably adaptive mean, variance, and regularization JMLR 2018
Estimating Learnability in the Sublinear Data Regime NIPS 2018
Thresholding Bandits with Augmented UCB IJCAI 2017
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples NIPS 2017
Minimax Regret Bounds for Reinforcement Learning ICML 2017
Machine Learning in an Auction Environment JMLR 2016
Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models AISTATS 2016
Learning the Variance of the Reward-To-Go JMLR 2016
Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife JMLR 2014
Learning Heteroscedastic Models by Convex Programming under Group Sparsity ICML 2013
Estimating LASSO Risk and Noise Level NIPS 2013
Multiple-source cross-validation ICML 2013
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NIPS 2011
Empirical Bernstein Inequalities for U-Statistics NIPS 2010
Gaussian sampling by local perturbations NIPS 2010
Data-driven calibration of linear estimators with minimal penalties NIPS 2009
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier NIPS 2006
Analysis of Variance of Cross-Validation Estimators of the Generalization Error JMLR 2005
No Unbiased Estimator of the Variance of K-Fold Cross-Validation JMLR 2004