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Feynman T. Liang
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2020 – today
- 2023
- [c8]Feynman T. Liang, Liam Hodgkinson, Michael W. Mahoney:
A Heavy-Tailed Algebra for Probabilistic Programming. NeurIPS 2023 - [i6]Feynman T. Liang, Liam Hodgkinson, Michael W. Mahoney:
A Heavy-Tailed Algebra for Probabilistic Programming. CoRR abs/2306.09262 (2023) - 2022
- [c7]Feynman T. Liang, Michael W. Mahoney, Liam Hodgkinson:
Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows. ICML 2022: 13257-13270 - [i5]Feynman T. Liang, Liam Hodgkinson, Michael W. Mahoney:
Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows. CoRR abs/2205.07918 (2022) - 2021
- [c6]Feynman T. Liang, Nimar S. Arora, Nazanin Khosravani Tehrani, Yucen Lily Li, Michael Tingley, Erik Meijer:
Accelerating Metropolis-Hastings with Lightweight Inference Compilation. AISTATS 2021: 181-189 - 2020
- [c5]Michal Derezinski, Feynman T. Liang, Michael W. Mahoney:
Bayesian experimental design using regularized determinantal point processes. AISTATS 2020: 3197-3207 - [c4]Michal Derezinski, Feynman T. Liang, Zhenyu Liao, Michael W. Mahoney:
Precise expressions for random projections: Low-rank approximation and randomized Newton. NeurIPS 2020 - [c3]Michal Derezinski, Feynman T. Liang, Michael W. Mahoney:
Exact expressions for double descent and implicit regularization via surrogate random design. NeurIPS 2020 - [i4]Michal Derezinski, Feynman T. Liang, Zhenyu Liao, Michael W. Mahoney:
Precise expressions for random projections: Low-rank approximation and randomized Newton. CoRR abs/2006.10653 (2020) - [i3]Feynman T. Liang, Nimar S. Arora, Nazanin Khosravani Tehrani, Yucen Lily Li, Michael Tingley, Erik Meijer:
Accelerating Metropolis-Hastings with Lightweight Inference Compilation. CoRR abs/2010.12128 (2020)
2010 – 2019
- 2019
- [i2]Michal Derezinski, Feynman T. Liang, Michael W. Mahoney:
Bayesian experimental design using regularized determinantal point processes. CoRR abs/1906.04133 (2019) - [i1]Michal Derezinski, Feynman T. Liang, Michael W. Mahoney:
Exact expressions for double descent and implicit regularization via surrogate random design. CoRR abs/1912.04533 (2019) - 2017
- [c2]Feynman T. Liang, Mark Gotham, Matthew Johnson, Jamie Shotton:
Automatic Stylistic Composition of Bach Chorales with Deep LSTM. ISMIR 2017: 449-456 - 2016
- [c1]Firas Abuzaid, Joseph K. Bradley, Feynman T. Liang, Andrew Feng, Lee Yang, Matei Zaharia, Ameet Talwalkar:
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale. NIPS 2016: 3810-3818
Coauthor Index
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