conftrace_

asymptotic normality

66 papers

Explore in graph

Co-occurring keywords

confidence interval (146) statistical inference (146) causal inference (1630) statistical estimation (108) parameter estimation (274) maximum likelihood (255) maximum likelihood estimation (233) uncertainty quantification (1393) bayesian inference (1907) statistical learning (351)

Papers

Frequentist Guarantees of Distributed (Non)-Bayesian Inference JMLR 2025
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming JMLR 2025
Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality JMLR 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
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning CVPR 2024
Cluster-Adaptive Network A/B Testing: From Randomization to Estimation JMLR 2024
Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions ALT 2023
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes ICML 2023
High-Dimensional Inference for Generalized Linear Models with Hidden Confounding JMLR 2023
Geodesically convex $M$-estimation in metric spaces COLT 2023
Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information AAAI 2023
Inference on Strongly Identified Functionals of Weakly Identified Functions COLT 2023
Adaptive Linear Estimating Equations NIPS 2023
Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions NIPS 2023
Nonconvex stochastic scaled gradient descent and generalized eigenvector problems UAI 2023
Statistical Inference for Noisy Incomplete Binary Matrix JMLR 2023
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference NIPS 2023
Sparse Deep Learning for Time Series Data: Theory and Applications NIPS 2023
Scalable and Efficient Hypothesis Testing with Random Forests JMLR 2022
Power Iteration for Tensor PCA JMLR 2022
Debiased Machine Learning without Sample-Splitting for Stable Estimators NIPS 2022
Finite-Sample Maximum Likelihood Estimation of Location NIPS 2022
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory ICML 2022