statistical estimation

On the consistent estimation of optimal Receiver Operating Characteristic (ROC) curve NeurIPS 2022 On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood NeurIPS 2022 Private and polynomial time algorithms for learning Gaussians and beyond COLT 2022 Private Estimation with Public Data NeurIPS 2022 A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling AISTATS 2021 A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation COLT 2021 A heuristic for statistical seriation UAI 2021 An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias NeurIPS 2021 Compressed Maximum Likelihood ICML 2021 Consistent estimation of small masses in feature sampling JMLR 2021 Cross-Iteration Batch Normalization CVPR 2021 Expected Validation Performance and Estimation of a Random Variable’s Maximum EMNLP 2021 Faster Algorithms and Constant Lower Bounds for the Worst-Case Expected Error NeurIPS 2021 High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding AISTATS 2021 Locally differentially private estimation of functionals of discrete distributions NeurIPS 2021 On Estimation in Latent Variable Models ICML 2021 On the Variance of the Fisher Information for Deep Learning NeurIPS 2021 Statistical Estimation from Dependent Data ICML 2021 Adaptive Estimator Selection for Off-Policy Evaluation ICML 2020 CoinPress: Practical Private Mean and Covariance Estimation NeurIPS 2020 Data Amplification: Instance-Optimal Property Estimation ICML 2020 Estimating Mutual Information Between Dense Word Embeddings ACL 2020 Estimating Principal Components under Adversarial Perturbations COLT 2020 Estimating weighted areas under the ROC curve NeurIPS 2020 Information Elicitation Mechanisms for Statistical Estimation AAAI 2020