Skip to content
conftrace_

censored data

30 papers

Papers

COBALT: Censored Optimization and Bayesian Active Learning Techniques UAI 2026 Advancing Fairness in Precision Medicine: A Universal Framework for Optimal Treatment Estimation in Censored Data AISTATS 2025 Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees ICML 2025 Learning High-dimensional Gaussians from Censored Data AISTATS 2025 Mixed Type Multimorbidity Variational Autoencoder: A Deep Generative Model for Multimorbidity Analysis MLHC 2024 Toward Conditional Distribution Calibration in Survival Prediction NeurIPS 2024 An Effective Meaningful Way to Evaluate Survival Models ICML 2023 Censored Fairness through Awareness AAAI 2023 Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data JMLR 2023 Differentiable sorting for censored time-to-event data. NeurIPS 2023 Learning Mixtures of Gaussians with Censored Data ICML 2023 Multi-Source Survival Domain Adaptation AAAI 2023 Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data AAAI 2023 A Deep Variational Approach to Clustering Survival Data ICLR 2022 Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis NeurIPS 2022 SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks JMLR 2022 Survival regression with proper scoring rules and monotonic neural networks AISTATS 2022 Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions AAAI 2021 Efficient Algorithms for Learning from Coarse Labels COLT 2021 T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP ICML 2021 Censored Quantile Regression Forest AISTATS 2020 Gaussian Sum-Product Networks Learning in the Presence of Interval Censored Data PGM 2020 Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis ACML 2020 scikit-survival: A Library for Time-to-Event Analysis Built on Top of scikit-learn JMLR 2020 A maximum-mean-discrepancy goodness-of-fit test for censored data AISTATS 2019