conftrace_

confidence interval

146 papers

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Also known as

CI

Co-occurring keywords

statistical inference (146) uncertainty quantification (1393) hypothesis testing (254) asymptotic normality (66) off-policy evaluation (144) differential privacy (1016) reinforcement learning (4352) online learning (1777) high-dimensional regression (142) stochastic gradient descent (1091)

Papers

CARE: Confidence-aware Ratio Estimation for Medical Biomarkers MIDL 2026
Scalable Vision-Guided Crop Yield Estimation AAAI 2026
On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs AAAI 2025
Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint) IJCAI 2025
Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors JMLR 2025
Selective Uncertainty Propagation in Offline RL AAAI 2025
UBench: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions ACL 2025
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies JMLR 2025
Automated L2 Proficiency Scoring: Weak Supervision, Large Language Models, and Statistical Guarantees ACL 2025
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty JMLR 2025
Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation COLT 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
Precise Model Benchmarking with Only a Few Observations EMNLP 2024
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning NIPS 2024
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss NIPS 2024
PRP-Graph: Pairwise Ranking Prompting to LLMs with Graph Aggregation for Effective Text Re-ranking ACL 2024
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning NIPS 2024
Confident Feature Ranking AISTATS 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
Federated Experiment Design under Distributed Differential Privacy AISTATS 2024
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NIPS 2024
Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract) COLT 2024
Analysis of Differentially Private Synthetic Data: A Measurement Error Approach AAAI 2024