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Feynman Liang
Feynman Liang
Statistics PhD Student at University of California, Berkeley
Verified email at berkeley.edu
Title
Cited by
Cited by
Year
Automatic Stylistic Composition of Bach Chorales with Deep LSTM.
FT Liang, M Gotham, M Johnson, J Shotton
ISMIR, 449-456, 2017
1182017
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
762020
Bachbot: Automatic composition in the style of bach chorales
F Liang
University of Cambridge 8 (19-48), 3.1, 2016
732016
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
302016
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
272020
Bayesian experimental design using regularized determinantal point processes
M Derezinski, F Liang, M Mahoney
International Conference on Artificial Intelligence and Statistics, 3197-3207, 2020
212020
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
82022
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
42021
A Heavy-Tailed Algebra for Probabilistic Programming
FT Liang, L Hodgkinson, MW Mahoney
Advances in Neural Information Processing Systems 36, 2024
12024
Randomized methods and statistical inference
F Liang
University of California, Berkeley, 2022
2022
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Articles 1–10