Conditional Expectation Propagation. - Zheng Wang 042; Shandian Zhe (UAI, 2019)

Scalable Nonparametric Factorization for High-Order Interaction Events. - Zhimeng Pan; Zheng Wang 042; Shandian Zhe (AISTATS, 2020)

Self-Modulating Nonparametric Event-Tensor Factorization. - Zheng Wang 042; Xinqi Chu; Shandian Zhe (ICML, 2020)

Streaming Nonlinear Bayesian Tensor Decomposition. - Zhimeng Pan; Zheng Wang 042; Shandian Zhe (UAI, 2020)

Physics Regularized Gaussian Processes. - Zheng Wang 042; Wei W. Xing; Robert Michael Kirby; Shandian Zhe (CoRR, 2020)

Streaming Probabilistic Deep Tensor Factorization. - Shikai Fang; Zheng Wang 042; Zhimeng Pan; Ji Liu; Shandian Zhe (CoRR, 2020)

Multi-Fidelity High-Order Gaussian Processes for Physical Simulation. - Zheng Wang 042; Wei W. Xing; Robert Michael Kirby; Shandian Zhe (AISTATS, 2021)

Streaming Bayesian Deep Tensor Factorization. - Shikai Fang; Zheng Wang 042; Zhimeng Pan; Ji Liu; Shandian Zhe (ICML, 2021)

Self-Adaptable Point Processes with Nonparametric Time Decays. - Zhimeng Pan; Zheng Wang 042; Jeff M. Phillips; Shandian Zhe (NeurIPS, 2021)

Deep Multi-Fidelity Active Learning of High-Dimensional Outputs. - Shibo Li; Zheng Wang 042; Robert M. Kirby; Shandian Zhe (AISTATS, 2022)

Physics Informed Deep Kernel Learning. - Zheng Wang 042; Wei W. Xing; Robert M. Kirby; Shandian Zhe (AISTATS, 2022)

AutoIP: A United Framework to Integrate Physics into Gaussian Processes. - Da Long; Zheng Wang 042; Aditi S. Krishnapriyan; Robert M. Kirby; Shandian Zhe; Michael W. Mahoney (ICML, 2022)

Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes. - Conor Tillinghast; Zheng Wang 042; Shandian Zhe (ICML, 2022)

Nonparametric Embeddings of Sparse High-Order Interaction Events. - Zheng Wang 042; Yiming Xu; Conor Tillinghast; Shibo Li; Akil Narayan 001; Shandian Zhe (ICML, 2022)

Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition. - Zheng Wang 042; Shandian Zhe (ICML, 2022)

Infinite-Fidelity Coregionalization for Physical Simulation. - Shibo Li; Zheng Wang 042; Robert M. Kirby; Shandian Zhe (NeurIPS, 2022)

Meta-Learning with Adjoint Methods. - Shibo Li; Zheng Wang 042; Akil Narayan 001; Robert M. Kirby; Shandian Zhe (AISTATS, 2023)

Streaming Factor Trajectory Learning for Temporal Tensor Decomposition. - Shikai Fang; Xin Yu 003; Shibo Li; Zheng Wang 042; Mike Kirby; Shandian Zhe (NeurIPS, 2023)

Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data. - Shikai Fang; Xin Yu 003; Zheng Wang 042; Shibo Li; Mike Kirby; Shandian Zhe (ICLR, 2024)