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 | 265 | 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 | 134 | 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 | 31 | 2021 |
Is importance weighting incompatible with interpolating classifiers? KA Wang, NS Chatterji, S Haque, T Hashimoto The Tenth International Conference on Learning Representations, 2022 | 23 | 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 | 13 | 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 | 12 | 2023 |
Sequence Modeling with Multiresolution Convolutional Memory J Shi, KA Wang, E Fox International Conference on Machine Learning, 31312-31327, 2023 | 8 | 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 | 2 | 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 | 1 | 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 | 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 |