confidence interval

Quantifying Treatment Effects: Estimating Risk Ratios via Observational Studies ICML 2025 QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions ICML 2025 Selective Uncertainty Propagation in Offline RL AAAI 2025 Transfer Learning for High-dimensional Reduced Rank Time Series Models AISTATS 2025 UBench: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions ACL 2025 Active Statistical Inference ICML 2024 A hierarchical decomposition for explaining ML performance discrepancies NeurIPS 2024 Analysis of Differentially Private Synthetic Data: A Measurement Error Approach AAAI 2024 Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing ICML 2024 Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation COLT 2024 Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process ICML 2024 Confidence Interval Estimation of Predictive Performance in the Context of AutoML AutoML 2024 Confident Feature Ranking AISTATS 2024 Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions AISTATS 2024 Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference AAAI 2024 Experts Don’t Cheat: Learning What You Don’t Know By Predicting Pairs ICML 2024 Federated Experiment Design under Distributed Differential Privacy AISTATS 2024 Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning NeurIPS 2024 Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments ICML 2024 Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NeurIPS 2024 Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning NeurIPS 2024 On Efficient and Statistical Quality Estimation for Data Annotation ACL 2024 Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models NAACL 2024 Precise Model Benchmarking with Only a Few Observations EMNLP 2024 Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation ICML 2024