Stronger and faster wasserstein adversarial attacks K Wu, A Wang, Y Yu International conference on machine learning, 10377-10387, 2020 | 28 | 2020 |
Newton-type methods for minimax optimization G Zhang, K Wu, P Poupart, Y Yu arXiv preprint arXiv:2006.14592, 2020 | 27 | 2020 |
Local Bayesian optimization via maximizing probability of descent Q Nguyen, K Wu, J Gardner, R Garnett Advances in neural information processing systems 35, 13190-13202, 2022 | 13 | 2022 |
Discovering many diverse solutions with bayesian optimization N Maus, K Wu, D Eriksson, J Gardner arXiv preprint arXiv:2210.10953, 2022 | 12 | 2022 |
On the convergence of black-box variational inference K Kim, J Oh, K Wu, Y Ma, J Gardner Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
On minimax optimality of GANs for robust mean estimation K Wu, GW Ding, R Huang, Y Yu International Conference on Artificial Intelligence and Statistics, 4541-4551, 2020 | 8 | 2020 |
Practical and matching gradient variance bounds for black-box variational Bayesian inference K Kim, K Wu, J Oh, JR Gardner International Conference on Machine Learning, 16853-16876, 2023 | 6 | 2023 |
Large-scale gaussian processes via alternating projection K Wu, J Wenger, HT Jones, G Pleiss, J Gardner International Conference on Artificial Intelligence and Statistics, 2620-2628, 2024 | 5 | 2024 |
The Behavior and Convergence of Local Bayesian Optimization K Wu, K Kim, R Garnett, J Gardner Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
Understanding adversarial robustness: The trade-off between minimum and average margin K Wu, Y Yu arXiv preprint arXiv:1907.11780, 2019 | 5 | 2019 |
Black-box variational inference converges K Kim, K Wu, J Oh, Y Ma, JR Gardner arXiv preprint arXiv:2305.15349, 2023 | 1 | 2023 |
Understanding Stochastic Natural Gradient Variational Inference K Wu, JR Gardner arXiv preprint arXiv:2406.01870, 2024 | | 2024 |
Variational Gaussian Processes with Decoupled Conditionals X Zhu, K Wu, N Maus, J Gardner, D Bindel Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
Wasserstein Adversarial Robustness K Wu University of Waterloo, 2020 | | 2020 |