Feynman T. Liang

14 papers A* 4A 2Journal 6Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	A Heavy-Tailed Algebra for Probabilistic Programming. NeurIPS Feynman T. Liang, Liam Hodgkinson, Michael W. Mahoney
2023	J	`jnl`	A Heavy-Tailed Algebra for Probabilistic Programming. CoRR Feynman T. Liang, Liam Hodgkinson, Michael W. Mahoney
2022	A*	`conf`	Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows. ICML Feynman T. Liang, Michael W. Mahoney, Liam Hodgkinson
2022	J	`jnl`	Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows. CoRR Feynman T. Liang, Liam Hodgkinson, Michael W. Mahoney
2021	A	`conf`	Accelerating Metropolis-Hastings with Lightweight Inference Compilation. AISTATS Feynman T. Liang, Nimar S. Arora, Nazanin Khosravani Tehrani, Yucen Lily Li, Michael Tingley, Erik Meijer
2020	J	`jnl`	Accelerating Metropolis-Hastings with Lightweight Inference Compilation. CoRR Feynman T. Liang, Nimar S. Arora, Nazanin Khosravani Tehrani, Yucen Lily Li, Michael Tingley, Erik Meijer
2020	A	`conf`	Bayesian experimental design using regularized determinantal point processes. AISTATS Michal Derezinski, Feynman T. Liang, Michael W. Mahoney
2020	A*	`conf`	Exact expressions for double descent and implicit regularization via surrogate random design. NeurIPS Michal Derezinski, Feynman T. Liang, Michael W. Mahoney
2020	A*	`conf`	Precise expressions for random projections: Low-rank approximation and randomized Newton. NeurIPS Michal Derezinski, Feynman T. Liang, Zhenyu Liao, Michael W. Mahoney
2020	J	`jnl`	Precise expressions for random projections: Low-rank approximation and randomized Newton. CoRR Michal Derezinski, Feynman T. Liang, Zhenyu Liao, Michael W. Mahoney
2019	J	`jnl`	Bayesian experimental design using regularized determinantal point processes. CoRR Michal Derezinski, Feynman T. Liang, Michael W. Mahoney
2019	J	`jnl`	Exact expressions for double descent and implicit regularization via surrogate random design. CoRR Michal Derezinski, Feynman T. Liang, Michael W. Mahoney
2017	—	`conf`	Automatic Stylistic Composition of Bach Chorales with Deep LSTM. ISMIR Feynman T. Liang, Mark Gotham, Matthew Johnson, Jamie Shotton
2016	—	`conf`	Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale. NIPS Firas Abuzaid, Joseph K. Bradley, Feynman T. Liang, Andrew Feng, Lee Yang, Matei Zaharia, Ameet Talwalkar