Publications

• Li S., Xing W., Kirby R. M. & Zhe S. (2020). Multi-Fidelity Bayesian Optimization via Deep Neural Networks. Proceedings of Advances in Neural Information Processing Systems (NeurIPS 2020). Vol. 33. Published, 12/10/2020.
• Fang S., Zhe S., Lee K., Zhang K. & Neville J. (2020). Online Bayesian Sparse Learning with Spike and Slab Priors. IEEE International Conference on Data Mining (ICDM). Published, 10/2020.
• Conor Tillinghast, Shikai Fang, Kai Zheng, and Shandian Zhe (2020). Probabilistic Neural-Kernel Tensor Decomposition. IEEE International Conference on Data Mining (ICDM). Published, 10/2020.
• Zheng Wang, Xinqi Chu, and Shandian Zhe (2020). Self-Modulating Nonparametric Event-Tensor Factorization. Proceedings of Thirty-seventh International Conference on Machine Learning (ICML). Published, 07/2020.
• Zhimeng Pan, Zheng Wang and Shandian Zhe (2020). Streaming Nonlinear Bayesian Tensor Decomposition. The Conference on Uncertainty in Artificial Intelligence (UAI). Published, 07/2020.
• Zhimeng Pan, Zheng Wang, and Shandian Zhe (2020). Scalable Nonparametric Factorization for High-Order Interaction Events. Proceedings of The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS). Published, 05/2020.
• Wei Xing, Shireen Elhabian, Robert M Kirby, Ross T Whitaker, and Shandian Zhe (2020). Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations. Proceedings of The 34th AAAI Conference on Artificial Intelligence (AAAI). Published, 01/2020.