Follow
Ke Alexander Wang
Ke Alexander Wang
CS PhD student, Stanford University
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
2472019
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
1272020
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
282021
Is importance weighting incompatible with interpolating classifiers?
KA Wang, NS Chatterji, S Haque, T Hashimoto
The Tenth International Conference on Learning Representations, 2022
182022
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
122021
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
92023
Sequence Modeling with Multiresolution Convolutional Memory
J Shi, KA Wang, E Fox
International Conference on Machine Learning, 31312-31327, 2023
62023
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
22023
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
22019
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
1*2019
Interpretable Mechanistic Representations for Meal-level Glycemic Control in the Wild
KA Wang, EB Fox
Machine Learning for Health (ML4H), 607-622, 2023
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
2021
Large Scale Exact Gaussian Processes Inference and Euclidean Constrained Neural Networks with Physics Priors
KA Wang
Cornell University, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–13