asymptotic normality

Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models JMLR 2026 Overcoming Dependent Censoring in the Evaluation of Survival Models UAI 2026 Single-Network Asymptotics for Causal Inference with Partial Network Data UAI 2026 All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance ICML 2025 Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization AISTATS 2025 Frequentist Guarantees of Distributed (Non)-Bayesian Inference JMLR 2025 Interference Among First-Price Pacing Equilibria: A Bias and Variance Analysis ICLR 2025 Online Covariance Estimation in Nonsmooth Stochastic Approximation COLT 2025 On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent JMLR 2025 Optimal downsampling for Imbalanced Classification with Generalized Linear Models AISTATS 2025 Quantifying Treatment Effects: Estimating Risk Ratios via Observational Studies ICML 2025 Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming JMLR 2025 Cluster-Adaptive Network A/B Testing: From Randomization to Estimation JMLR 2024 Collaborative Heterogeneous Causal Inference Beyond Meta-analysis ICML 2024 Continuous Treatment Effects with Surrogate Outcomes ICML 2024 Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024 Linear Regression With Unmatched Data: A Deconvolution Perspective JMLR 2024 Nonparametric Regression for 3D Point Cloud Learning JMLR 2024 Privacy Preserving Adaptive Experiment Design ICML 2024 Statistical and Causal Robustness for Causal Null Hypothesis Tests UAI 2024 Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality JMLR 2024 Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning CVPR 2024 Adaptive Linear Estimating Equations NeurIPS 2023 Geodesically convex M-estimation in metric spaces COLT 2023 High-Dimensional Inference for Generalized Linear Models with Hidden Confounding JMLR 2023