mean squared error

Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations ICML 2021 Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls NeurIPS 2021 A Characterization of Mean Squared Error for Estimator with Bagging AISTATS 2020 An Interpretable and Sample Efficient Deep Kernel for Gaussian Process UAI 2020 Estimation and Inference with Trees and Forests in High Dimensions COLT 2020 Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding COLT 2020 One-shot Distributed Ridge Regression in High Dimensions ICML 2020 Provably Efficient Neural GTD for Off-Policy Learning NeurIPS 2020 Reducing Sampling Error in Batch Temporal Difference Learning ICML 2020 Statistically Efficient Off-Policy Policy Gradients ICML 2020 Strategyproof Mean Estimation from Multiple-Choice Questions ICML 2020 The Mean-Squared Error of Double Q-Learning NeurIPS 2020 WONDER: Weighted One-shot Distributed Ridge Regression in High Dimensions JMLR 2020 Correlated bandits or: How to minimize mean-squared error online ICML 2019 Importance Sampling Policy Evaluation with an Estimated Behavior Policy ICML 2019 Iterative Bayesian Learning for Crowdsourced Regression AISTATS 2019 Recovery Guarantees For Quadratic Tensors With Sparse Observations AISTATS 2019 The All-or-Nothing Phenomenon in Sparse Linear Regression COLT 2019 Linear Spectral Estimators and an Application to Phase Retrieval ICML 2018 Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks NeurIPS 2018 Representation Balancing MDPs for Off-policy Policy Evaluation NeurIPS 2018 Scalable Hash-Based Estimation of Divergence Measures AISTATS 2018 The DFS Fused Lasso: Linear-Time Denoising over General Graphs JMLR 2018 Uplift Modeling from Separate Labels NeurIPS 2018 Data-Efficient Policy Evaluation Through Behavior Policy Search ICML 2017