Xintian Han

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Evolutionary Computing

Top Venues

Publications

Jie Chen, Xintian Han, Yu Ma, Xun Zhou, Liang Xiang
Unlock the Correlation between Supervised Fine-Tuning and Reinforcement Learning in Training Code Large Language Models. CoRR (2024)
Xintian Han, Mark Goldstein, Rajesh Ranganath
Survival Mixture Density Networks. CoRR (2022)
Xintian Han, Mark Goldstein, Rajesh Ranganath
Survival Mixture Density Networks. MLHC (2022)
Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
X-CAL: Explicit Calibration for Survival Analysis. CoRR (2021)
Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath
Inverse-Weighted Survival Games. NeurIPS (2021)
Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath
Inverse-Weighted Survival Games. CoRR (2021)
Shreyas Bhave, Xintian Han, Rajesh Ranganath, Adler J. Perotte
Deep Survival Analysis: The Impact of Feature Missingness. AMIA (2020)
Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
X-CAL: Explicit Calibration for Survival Analysis. NeurIPS (2020)
Carlos Fernandez, Foster J. Provost, Xintian Han
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach. CoRR (2020)
Xintian Han, Yuxuan Hu, Luca Foschini, Larry Chinitz, Lior Jankelson, Rajesh Ranganath
Adversarial Examples for Electrocardiograms. CoRR (2019)
Carlos Fernandez, Foster J. Provost, Xintian Han
Counterfactual Explanations for Data-Driven Decisions. ICIS (2019)
Karl Rohe, Jun Tao, Xintian Han, Norbert Binkiewicz
A Note on Quickly Sampling a Sparse Matrix with Low Rank Expectation. J. Mach. Learn. Res. 19 (2018)