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Papers
PRP-Graph: Pairwise Ranking Prompting to LLMs with Graph Aggregation for Effective Text Re-ranking
ACL 2024
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss
NeurIPS 2024
Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract)
COLT 2024
Statistical Properties of Robust Satisficing
ICML 2024
Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models
NeurIPS 2024
A Lower Bound for Linear and Kernel Regression with Adaptive Covariates
COLT 2023
Analysis of Mean Opinion Scores in Subjective Evaluation of Synthetic Speech Based on Tail Probabilities
Interspeech 2023
Bayesian Estimation of Differential Privacy
ICML 2023
Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing
JMLR 2023
Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries
JMLR 2023
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
NeurIPS 2023
Faithful Model Evaluation for Model-Based Metrics
EMNLP 2023
Frequentist Uncertainty Quantification in Semi-Structured Neural Networks
AISTATS 2023
HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation
JMLR 2023
Inference on the Change Point under a High Dimensional Covariance Shift
JMLR 2023
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift
ICML 2023
Minimax-Optimal Location Estimation
NeurIPS 2023
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
NeurIPS 2023
Noise-Aware Statistical Inference with Differentially Private Synthetic Data
AISTATS 2023
Nonparametric Extensions of Randomized Response for Private Confidence Sets
ICML 2023
Online Learning for Traffic Navigation in Congested Networks
ALT 2023
Online Local Differential Private Quantile Inference via Self-normalization
ICML 2023
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification
NeurIPS 2023
“Plus/minus the learning rate”: Easy and Scalable Statistical Inference with SGD
AISTATS 2023
Precision/Recall on Imbalanced Test Data
AISTATS 2023