Wang, Kaizheng

8 publications

AISTATS 2025 A Unified Evaluation Framework for Epistemic Predictions Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Fabio Cuzzolin
ICLR 2025 Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar, David Moens, Hans Hallez
ICLR 2025 Random-Set Neural Networks Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin
ICML 2025 Uncertainty Quantification for LLM-Based Survey Simulations Chengpiao Huang, Yuhang Wu, Kaizheng Wang
NeurIPS 2024 Credal Deep Ensembles for Uncertainty Quantification Kaizheng Wang, Fabio Cuzzolin, Shireen Kudukkil Manchingal, Keivan Shariatmadar, David Moens, Hans Hallez
ICML 2024 Model Assessment and Selection Under Temporal Distribution Shift Elise Han, Chengpiao Huang, Kaizheng Wang
NeurIPS 2020 Efficient Clustering for Stretched Mixtures: Landscape and Optimality Kaizheng Wang, Yuling Yan, Mateo Diaz
ICML 2018 Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion Cong Ma, Kaizheng Wang, Yuejie Chi, Yuxin Chen