Co-occurring keywords · papers mentioning both
Papers
Adapting Lightweight Image-based Counting Models for Video Crowd Counting
CVPR 2026
Information-computation gaps in quantum learning via low-degree likelihood
COLT 2026
PRECISE: Reducing the Bias of LLM Evaluations Using Prediction-Powered Ranking Estimation
AAAI 2026
Robust Weighted Triangulation of Causal Effects Under Model Uncertainty
UAI 2026
Assumption-lean and data-adaptive post-prediction inference
JMLR 2025
Automated L2 Proficiency Scoring: Weak Supervision, Large Language Models, and Statistical Guarantees
ACL 2025
Benchmarking Debiasing Methods for LLM-based Parameter Estimates
EMNLP 2025
Best Linear Unbiased Estimate from Privatized Contingency Tables
JMLR 2025
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty
JMLR 2025
Can Unconfident LLM Annotations Be Used for Confident Conclusions?
NAACL 2025
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets
ICLR 2025
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
JMLR 2025
Off-Policy Evaluation under Nonignorable Missing Data
ICML 2025
On Inference for the Support Vector Machine
JMLR 2025
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming
JMLR 2025
Statistical inference on black-box generative models in the data kernel perspective space
ACL 2025
Wasserstein F-tests for Frechet regression on Bures-Wasserstein manifolds
JMLR 2025
Analysis of Differentially Private Synthetic Data: A Measurement Error Approach
AAAI 2024
Approximate Information Tests on Statistical Submanifolds
JMLR 2024
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference
AISTATS 2024
Conformalized Multiple Testing after Data-dependent Selection
NeurIPS 2024
Data Thinning for Convolution-Closed Distributions
JMLR 2024
Debiasing Synthetic Data Generated by Deep Generative Models
NeurIPS 2024
Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference
AAAI 2024
Neural Conditional Probability for Uncertainty Quantification
NeurIPS 2024