Feynman Liang
Feynman Liang
Statistics PhD Student at University of California, Berkeley
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Automatic Stylistic Composition of Bach Chorales with Deep LSTM.
FT Liang, M Gotham, M Johnson, J Shotton
ISMIR, 449-456, 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
Bachbot: Automatic composition in the style of bach chorales
F Liang
University of Cambridge 8 (19-48), 3.1, 2016
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
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
Bayesian experimental design using regularized determinantal point processes
M Derezinski, F Liang, M Mahoney
International Conference on Artificial Intelligence and Statistics, 3197-3207, 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
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
A Heavy-Tailed Algebra for Probabilistic Programming
FT Liang, L Hodgkinson, MW Mahoney
Advances in Neural Information Processing Systems 36, 2024
Randomized methods and statistical inference
F Liang
University of California, Berkeley, 2022
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