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

Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm NIPS 2024
PRP-Graph: Pairwise Ranking Prompting to LLMs with Graph Aggregation for Effective Text Re-ranking ACL 2024
Minimax-Optimal Location Estimation NIPS 2023
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning NIPS 2023
Analysis of Mean Opinion Scores in Subjective Evaluation of Synthetic Speech Based on Tail Probabilities INTERSPEECH 2023
Noise-Aware Statistical Inference with Differentially Private Synthetic Data AISTATS 2023
“Plus/minus the learning rate”: Easy and Scalable Statistical Inference with SGD AISTATS 2023
Faithful Model Evaluation for Model-Based Metrics EMNLP 2023
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process ICML 2023
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification NIPS 2023
Online Learning for Traffic Navigation in Congested Networks ALT 2023
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes ICML 2023
Truncating Trajectories in Monte Carlo Reinforcement Learning ICML 2023
Revisiting inference after prediction JMLR 2023
Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries JMLR 2023
Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing JMLR 2023
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift ICML 2023
Inference on the Change Point under a High Dimensional Covariance Shift JMLR 2023
Nonparametric Extensions of Randomized Response for Private Confidence Sets ICML 2023
HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation JMLR 2023
Frequentist Uncertainty Quantification in Semi-Structured Neural Networks AISTATS 2023
Bayesian Estimation of Differential Privacy ICML 2023
Online Local Differential Private Quantile Inference via Self-normalization ICML 2023
Statistical Inference and A/B Testing for First-Price Pacing Equilibria ICML 2023
Precision/Recall on Imbalanced Test Data AISTATS 2023