Ke Alexander Wang
Ke Alexander Wang
CS PhD student, Stanford University
Verified email at - Homepage
Cited by
Cited by
Exact Gaussian Processes on a Million Data Points
K Wang, G Pleiss, J Gardner, S Tyree, KQ Weinberger, AG Wilson
Advances in Neural Information Processing Systems 32, 14648-14659, 2019
Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints
M Finzi, KA Wang, AG Wilson
Advances in Neural Information Processing Systems 33, 13880-13889, 2020
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
W Neiswanger, KA Wang, S Ermon
Proceedings of the 38th International Conference on Machine Learning 139 …, 2021
Is importance weighting incompatible with interpolating classifiers?
KA Wang, NS Chatterji, S Haque, T Hashimoto
The Tenth International Conference on Learning Representations, 2022
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
S Kapoor, M Finzi, KA Wang, AG Wilson
Proceedings of the 38th International Conference on Machine Learning 139 …, 2021
Disparities in hemoglobin A1c levels in the first year after diagnosis among youths with type 1 diabetes offered continuous glucose monitoring
A Addala, V Ding, DP Zaharieva, FK Bishop, AS Adams, AC King, ...
JAMA Network Open 6 (4), e238881-e238881, 2023
Sequence Modeling with Multiresolution Convolutional Memory
J Shi, KA Wang, E Fox
International Conference on Machine Learning, 31312-31327, 2023
DC2: A Divide-and-conquer Algorithm for Large-scale Kernel Learning with Application to Clustering
KA Wang, X Bian, P Liu, D Yan
2019 IEEE International Conference on Big Data (Big Data), 5603-5610, 2019
Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates
KA Wang, ME Levine, J Shi, EB Fox
NeurIPS 2022 Workshop on Learning from Time Series for Health, 2023
Model-based Policy Gradients with Entropy Exploration through Sampling
S Stanton, KA Wang, AG Wilson
ICML Generative Modeling and Model-Based Reasoning for Robotics and AI Workshop, 2019
Interpretable Mechanistic Representations for Meal-level Glycemic Control in the Wild
KA Wang, EB Fox
Machine Learning for Health (ML4H), 607-622, 2023
GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics
KA Wang, DC Maddix, B Wang
I (Still) Can't Believe It's Not Better! NeurIPS 2021 Workshop, 2021
Large Scale Exact Gaussian Processes Inference and Euclidean Constrained Neural Networks with Physics Priors
KA Wang
Cornell University, 2020
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