| Gaussian process kernels for pattern discovery and extrapolation AG Wilson, RP Adams Proceedings of the 30th International Conference on Machine Learning (ICML …, 2013 | 452 | 2013 |
| Deep kernel learning AG Wilson, Z Hu, R Salakhutdinov, EP Xing Artificial Intelligence and Statistics (AISTATS), 2016 | 359 | 2016 |
| Averaging weights leads to wider optima and better generalization P Izmailov, D Podoprikhin, T Garipov, D Vetrov, AG Wilson Uncertainty in Artificial Intelligence (UAI), 2018 | 288 | 2018 |
| Kernel interpolation for scalable structured Gaussian processes (KISS-GP) AG Wilson, H Nickisch Proceedings of the 32nd International Conference on Machine Learning (ICML …, 2015 | 275 | 2015 |
| GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration JR Gardner, G Pleiss, D Bindel, KQ Weinberger, AG Wilson Advances in Neural Information Processing Systems (NIPS), 2018 | 180 | 2018 |
| Loss surfaces, mode connectivity, and fast ensembling of DNNs T Garipov, P Izmailov, D Podoprikhin, DP Vetrov, AG Wilson Advances in Neural Information Processing Systems (NIPS), 2018 | 162 | 2018 |
| A simple baseline for Bayesian uncertainty in deep learning W Maddox, T Garipov, P Izmailov, D Vetrov, AG Wilson Advances in Neural Information Processing Systems (NeurIPS), 2019 | 154 | 2019 |
| Student-t processes as alternatives to Gaussian processes A Shah, AG Wilson, Z Ghahramani Artificial Intelligence and Statistics, 877-885, 2014 | 148 | 2014 |
| Fast kernel learning for multidimensional pattern extrapolation AG Wilson, E Gilboa, JP Cunningham, A Nehorai Advances in Neural Information Processing Systems (NIPS), 3626-3634, 2014 | 147* | 2014 |
| Stochastic variational deep kernel learning AG Wilson, Z Hu, RR Salakhutdinov, EP Xing Advances in Neural Information Processing Systems (NIPS) 29, 2586-2594, 2016 | 126 | 2016 |
| Gaussian process regression networks AG Wilson, DA Knowles, Z Ghahramani Proceedings of the 29th International Conference on Machine Learning (ICML …, 2012 | 126 | 2012 |
| A la carte-learning fast kernels Z Yang, AJ Smola, L Song, AG Wilson Artificial Intelligence and Statistics (AISTATS), 2015 | 122 | 2015 |
| Bayesian optimization with gradients J Wu, M Poloczek, AG Wilson, PI Frazier Advances in Neural Information Processing Systems (NIPS) 30, 2017 | 116 | 2017 |
| Covariance kernels for fast automatic pattern discovery and extrapolation with Gaussian processes AG Wilson University of Cambridge, 2014 | 114 | 2014 |
| There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average B Athiwaratkun, M Finzi, P Izmailov, AG Wilson International Conference on Learning Representations (ICLR), 2019 | 110* | 2019 |
| Simple black-box adversarial attacks C Guo, JR Gardner, Y You, AG Wilson, KQ Weinberger International Conference on Machine Learning (ICML), 2019 | 105 | 2019 |
| Bayesian GAN Y Saatchi, AG Wilson Advances in Neural Information Processing Systems (NIPS) 30, 2017 | 98 | 2017 |
| Copula processes AG Wilson, Z Ghahramani Advances in Neural Information Processing Systems (NIPS), 2460-2468, 2010 | 92 | 2010 |
| Fast Kronecker inference in Gaussian processes with non-Gaussian likelihoods S Flaxman, AG Wilson, DB Neill, H Nickisch, AJ Smola International Conference on Machine Learning, 2015 | 85 | 2015 |
| Generalised Wishart processes AG Wilson, Z Ghahramani Uncertainty in Artificial Intelligence (UAI), 2011 | 81 | 2011 |
