| Automatic Stylistic Composition of Bach Chorales with Deep LSTM. FT Liang, M Gotham, M Johnson, J Shotton ISMIR, 449-456, 2017 | 129 | 2017 |
| Exact expressions for double descent and implicit regularization via surrogate random design M Derezinski, FT Liang, MW Mahoney Advances in neural information processing systems 33, 5152-5164, 2020 | 85 | 2020 |
| Bachbot: Automatic composition in the style of bach chorales F Liang University of Cambridge 8 (19-48), 3.1, 2016 | 83 | 2016 |
| Precise expressions for random projections: Low-rank approximation and randomized Newton M Derezinski, FT Liang, Z Liao, MW Mahoney Advances in Neural Information Processing Systems 33, 18272-18283, 2020 | 33 | 2020 |
| Yggdrasil: An optimized system for training deep decision trees at scale F Abuzaid, JK Bradley, FT Liang, A Feng, L Yang, M Zaharia, ... Advances in neural information processing systems 29, 2016 | 31 | 2016 |
| Bayesian experimental design using regularized determinantal point processes M Derezinski, F Liang, M Mahoney International Conference on Artificial Intelligence and Statistics, 3197-3207, 2020 | 25 | 2020 |
| Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows F Liang, M Mahoney, L Hodgkinson Proceedings of the 39th International Conference on Machine Learning 162, 132, 2022 | 15 | 2022 |
| A heavy-tailed algebra for probabilistic programming FT Liang, L Hodgkinson, MW Mahoney Advances in Neural Information Processing Systems 36, 19353-19365, 2023 | 6 | 2023 |
| Accelerating Metropolis-Hastings with Lightweight Inference Compilation F Liang, N Arora, N Tehrani, Y Li, M Tingley, E Meijer Proceedings of The 24th International Conference on Artificial Intelligence …, 2021 | 4 | 2021 |
| Randomized methods and statistical inference F Liang University of California, Berkeley, 2022 | | 2022 |
