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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
1632019
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
522020
Is Importance Weighting Incompatible with Interpolating Classifiers?
KA Wang, NS Chatterji, S Haque, T Hashimoto
arXiv preprint arXiv:2112.12986, 2021
82021
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
72021
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
22021
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
12019
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
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
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Articles 1–9