asymptotic normality

Inference on Strongly Identified Functionals of Weakly Identified Functions COLT 2023 Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions NeurIPS 2023 Nonconvex stochastic scaled gradient descent and generalized eigenvector problems UAI 2023 Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information AAAI 2023 Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes ICML 2023 Sparse Deep Learning for Time Series Data: Theory and Applications NeurIPS 2023 Statistical Inference for Noisy Incomplete Binary Matrix JMLR 2023 Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference NeurIPS 2023 Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions ALT 2023 Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms JMLR 2022 Debiased Machine Learning without Sample-Splitting for Stable Estimators NeurIPS 2022 Finite-Sample Maximum Likelihood Estimation of Location NeurIPS 2022 Lazy Estimation of Variable Importance for Large Neural Networks ICML 2022 Least Squares Estimation using Sketched Data with Heteroskedastic Errors ICML 2022 Maximum sampled conditional likelihood for informative subsampling JMLR 2022 Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory ICML 2022 One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation AISTATS 2022 Optimal Estimation of Policy Gradient via Double Fitted Iteration ICML 2022 Power Iteration for Tensor PCA JMLR 2022 Scalable and Efficient Hypothesis Testing with Random Forests JMLR 2022 Two-mode Networks: Inference with as Many Parameters as Actors and Differential Privacy JMLR 2022 A Computationally Efficient Method for Learning Exponential Family Distributions NeurIPS 2021 An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias NeurIPS 2021 Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator ICML 2021 Asymptotic Normality, Concentration, and Coverage of Generalized Posteriors JMLR 2021