survival analysis

Boosted Trees for Risk Prognosis MLHC 2018 Multitask Boosting for Survival Analysis with Competing Risks NeurIPS 2018 Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks NeurIPS 2018 Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis IJCAI 2018 tick: a Python Library for Statistical Learning, with an emphasis on Hawkes Processes and Time-Dependent Models JMLR 2018 Tree-based Bayesian Mixture Model for Competing Risks AISTATS 2018 Attributing Hacks AISTATS 2017 Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks NeurIPS 2017 iSurvive: An Interpretable, Event-time Prediction Model for mHealth ICML 2017 The Recognition of Compounds: A Computational Account Interspeech 2017 Deep Survival Analysis MLHC 2016 Gaussian Processes for Survival Analysis NeurIPS 2016 Making Large Cox’s Proportional Hazard Models Tractable in Bayesian Networks PGM 2016 Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes JMLR 2016 DYNACARE: Dynamic Cardiac Arrest Risk Estimation AISTATS 2013 Testing for Membership to the IFRA and the NBU Classes of Distributions AISTATS 2012 Continuous-Time Regression Models for Longitudinal Networks NeurIPS 2011 Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors NeurIPS 2011 Learning Transformation Models for Ranking and Survival Analysis JMLR 2011 On Ranking in Survival Analysis: Bounds on the Concordance Index NeurIPS 2007