stratified sampling

Osint at SemEval-2026 Task 13: A Distribution-Aware Framework for Machine-Generated Code Detection and Multi-Source Authorship Attribution SemEval 2026 Aioli: A Unified Optimization Framework for Language Model Data Mixing ICLR 2025 Optimal Survey Design for Private Mean Estimation ICML 2025 ReRAW: RGB-to-RAW Image Reconstruction via Stratified Sampling for Efficient Object Detection on the Edge CVPR 2025 Benchmark Transparency: Measuring the Impact of Data on Evaluation NAACL 2024 Simple Weak Coresets for Non-decomposable Classification Measures AAAI 2024 Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models NeurIPS 2024 SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification AISTATS 2024 Using Stratified Sampling to Improve LIME Image Explanations AAAI 2024 Online Speaker Diarization with Core Samples Selection Interspeech 2022 Toward More Effective Human Evaluation for Machine Translation ACL 2022 Approximating the Shapley Value Using Stratified Empirical Bernstein Sampling IJCAI 2021 Optimal Off-Policy Evaluation from Multiple Logging Policies ICML 2021 Variance Reduced Training with Stratified Sampling for Forecasting Models ICML 2021 Accelerating Stratified Sampling SGD by Reconstructing Strata IJCAI 2020 Faster Boosting with Smaller Memory NeurIPS 2019 Orthogonal Estimation of Wasserstein Distances AISTATS 2019 Optimizing Speech Recognition Evaluation Using Stratified Sampling Interspeech 2016 Stratified Sampling Meets Machine Learning ICML 2016 Adaptive Strategy for Stratified Monte Carlo Sampling JMLR 2015 Active Regression by Stratification NeurIPS 2014 Scalable Simple Random Sampling and Stratified Sampling ICML 2013 Toward Optimal Stratification for Stratified Monte-Carlo Integration ICML 2013 Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions NeurIPS 2012 Finite Time Analysis of Stratified Sampling for Monte Carlo NeurIPS 2011