prediction error

Knowledge Distillation as Semiparametric Inference ICLR 2021 Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds NeurIPS 2021 Strategic Classification in the Dark ICML 2021 Flow-based Intrinsic Curiosity Module IJCAI 2020 Minimax Bounds for Generalized Linear Models NeurIPS 2020 Online metric algorithms with untrusted predictions ICML 2020 Optimal sampling in unbiased active learning AISTATS 2020 Stable Regression: On the Power of Optimization over Randomization JMLR 2020 A Logic-Driven Framework for Consistency of Neural Models EMNLP 2019 Large-Scale Study of Curiosity-Driven Learning ICLR 2019 On Robustness of Principal Component Regression NeurIPS 2019 On the number of variables to use in principal component regression NeurIPS 2019 Performance Monitoring for End-to-End Speech Recognition Interspeech 2019 Statistical Foundations of Virtual Democracy ICML 2019 Lipschitz Continuity in Model-based Reinforcement Learning ICML 2018 On Tight Bounds for the Lasso JMLR 2018 Recurrent Predictive State Policy Networks ICML 2018 Why Is My Classifier Discriminatory? NeurIPS 2018 Compressed Least Squares Regression revisited AISTATS 2017 Online Time Series Prediction with Missing Data ICML 2015 Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NeurIPS 2012 Random Design Analysis of Ridge Regression COLT 2012 A Neural Implementation of the Kalman Filter NeurIPS 2009 Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers JMLR 2008