confidence interval

A Debiased LASSO Estimator for Design Matrices with Non-zero Mean Elements UAI 2026 CARE: Confidence-aware Ratio Estimation for Medical Biomarkers MIDL 2026 CCEval: Accurately and Confidently Evaluating Performance Metrics of Congestion Control Algorithms for Datacenter Networks NSDI 2026 Cheap Bootstrap for Fast Uncertainty Quantification of Stochastic Gradient Descent JMLR 2026 Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models JMLR 2026 Fairness Uncertainty Quantification: A Constrained Stochastic Optimization Perspective UAI 2026 Optimism Stabilizes Thompson Sampling for Adaptive Inference COLT 2026 Scalable Vision-Guided Crop Yield Estimation AAAI 2026 Simulation-based Calibration of Uncertainty Intervals under Approximate Bayesian Estimation JMLR 2026 The Price of Valid Inference After Causal Discovery UAI 2026 Automated L2 Proficiency Scoring: Weak Supervision, Large Language Models, and Statistical Guarantees ACL 2025 Beyond Sin-Squared Error: Linear Time Entrywise Uncertainty Quantification for Streaming PCA UAI 2025 Bridging the Theoretical Gap in Randomized Smoothing AISTATS 2025 Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty JMLR 2025 Calibrated Regression Against An Adversary Without Regret UAI 2025 Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint) IJCAI 2025 Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets ICLR 2025 Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference ICML 2025 Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies JMLR 2025 Label Distribution Learning using the Squared Neural Family on the Probability Simplex UAI 2025 Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors JMLR 2025 Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning AISTATS 2025 On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs AAAI 2025 On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent JMLR 2025 Prediction-Powered E-Values ICML 2025