Showing 1–20 of 61 results
/ Date/ Name
May 6, 2019Estimating the effect of PEG in ALS patients using observational data subject to censoring by death and missing outcomesOct 22, 2021Fairness in Missing Data ImputationDec 21, 2021Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value ProblemsApr 17, 2025Efficient MAP Estimation of LLM Judgment Performance with Prior TransferOct 22, 2025Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via $f$-Differential PrivacyNov 21, 2024Robust Detection of Watermarks for Large Language Models Under Human EditsJul 12, 2025Fair CCA for Fair Representation Learning: An ADNI StudyNov 17, 2024SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated TextJun 8, 2024Bridging the Gap: Rademacher Complexity in Robust and Standard GeneralizationMar 2, 2021Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?Feb 1, 2026Improving the Trade-off Between Watermark Strength and Speculative Sampling Efficiency for Language ModelsJun 27, 2025Optimal Estimation of Watermark Proportions in Hybrid AI-Human TextsDec 29, 2020Privacy-Preserving Methods for Vertically Partitioned Incomplete DataJan 29, 2021Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced TrainingMay 25, 2025I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-ExpertsJun 1, 2025Evaluating the Unseen Capabilities: How Many Theorems Do LLMs Know?Aug 7, 2020Grouping effects of sparse CCA models in variable selectionJun 8, 2016Integrative analysis of transcriptomic and metabolomic data via sparse canonical correlation analysis with incorporation of biological informationApr 25, 2016Scalable Bayesian Variable Selection for Structured High-dimensional DataAug 9, 2011Survival ensembles by the sum of pairwise differences with application to lung cancer microarray studies