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2020 – today
- 2024
[j3]Ningning Xie, Daniel D. Johnson, Dougal Maclaurin, Adam Paszke:
Parallel Algebraic Effect Handlers. Proc. ACM Program. Lang. 8(ICFP): 756-788 (2024)- [i12]Sami Alabed, Bart Chrzaszcz, Juliana Franco, Dominik Grewe, Dougal Maclaurin, James Molloy, Tom Natan, Tamara Norman, Xiaoyue Pan, Adam Paszke, Norman A. Rink, Michael Schaarschmidt, Timur Sitdikov, Agnieszka Swietlik, Dimitrios Vytiniotis, Joel Wee:
PartIR: Composing SPMD Partitioning Strategies for Machine Learning. CoRR abs/2401.11202 (2024) - 2023
- [j2]Alexey Radul
, Adam Paszke, Roy Frostig, Matthew J. Johnson, Dougal Maclaurin:
You Only Linearize Once: Tangents Transpose to Gradients. Proc. ACM Program. Lang. 7(POPL): 1246-1274 (2023) - 2022
- [c8]Dougal Maclaurin, Alexey Radul, Adam Paszke:
The Foil: Capture-Avoiding Substitution With No Sharp Edges. IFL 2022: 8:1-8:10 - [i11]Alexey Radul, Adam Paszke, Roy Frostig, Matthew J. Johnson, Dougal Maclaurin:
You Only Linearize Once: Tangents Transpose to Gradients. CoRR abs/2204.10923 (2022) - [i10]Dougal Maclaurin, Alexey Radul, Adam Paszke:
The Foil: Capture-Avoiding Substitution With No Sharp Edges. CoRR abs/2210.04729 (2022) - 2021
- [j1]Adam Paszke, Daniel D. Johnson, David Duvenaud, Dimitrios Vytiniotis, Alexey Radul, Matthew J. Johnson, Jonathan Ragan-Kelley, Dougal Maclaurin:
Getting to the point: index sets and parallelism-preserving autodiff for pointful array programming. Proc. ACM Program. Lang. 5(ICFP): 1-29 (2021) - [c7]Adam Paszke, Matthew J. Johnson, Roy Frostig, Dougal Maclaurin:
Parallelism-preserving automatic differentiation for second-order array languages. FHPNC@ICFP 2021: 13-23 - [i9]Adam Paszke, Daniel D. Johnson, David Duvenaud, Dimitrios Vytiniotis, Alexey Radul, Matthew J. Johnson, Jonathan Ragan-Kelley, Dougal Maclaurin:
Getting to the Point. Index Sets and Parallelism-Preserving Autodiff for Pointful Array Programming. CoRR abs/2104.05372 (2021) - [i8]Roy Frostig, Matthew J. Johnson, Dougal Maclaurin, Adam Paszke, Alexey Radul:
Decomposing reverse-mode automatic differentiation. CoRR abs/2105.09469 (2021) - [i7]Ningning Xie, Daniel D. Johnson, Dougal Maclaurin, Adam Paszke:
Parallel Algebraic Effect Handlers. CoRR abs/2110.07493 (2021) - 2020
- [c6]Alexey Radul, Brian Patton, Dougal Maclaurin, Matthew D. Hoffman, Rif A. Saurous:
Automatically batching control-intensive programs for modern accelerators. MLSys 2020 - [i6]Gilbert Bernstein, Michael Mara, Tzu-Mao Li, Dougal Maclaurin, Jonathan Ragan-Kelley:
Differentiating a Tensor Language. CoRR abs/2008.11256 (2020)
2010 – 2019
- 2019
- [i5]Alexey Radul, Brian Patton, Dougal Maclaurin, Matthew D. Hoffman, Rif A. Saurous:
Automatically Batching Control-Intensive Programs for Modern Accelerators. CoRR abs/1910.11141 (2019) - 2016
- [c5]David Duvenaud, Dougal Maclaurin, Ryan P. Adams:
Early Stopping as Nonparametric Variational Inference. AISTATS 2016: 1070-1077 - 2015
- [c4]Dougal Maclaurin, David Duvenaud, Ryan P. Adams:
Gradient-based Hyperparameter Optimization through Reversible Learning. ICML 2015: 2113-2122 - [c3]Dougal Maclaurin, Ryan Prescott Adams:
Firefly Monte Carlo: Exact MCMC with Subsets of Data. IJCAI 2015: 4289-4295 - [c2]David Duvenaud, Dougal Maclaurin, Jorge Aguilera-Iparraguirre, Rafael Gómez-Bombarelli, Timothy Hirzel, Alán Aspuru-Guzik, Ryan P. Adams:
Convolutional Networks on Graphs for Learning Molecular Fingerprints. NIPS 2015: 2224-2232 - [i4]Dougal Maclaurin, David Duvenaud, Ryan P. Adams:
Gradient-based Hyperparameter Optimization through Reversible Learning. CoRR abs/1502.03492 (2015) - [i3]Dougal Maclaurin, David Duvenaud, Ryan P. Adams:
Early Stopping is Nonparametric Variational Inference. CoRR abs/1504.01344 (2015) - [i2]David Duvenaud, Dougal Maclaurin, Jorge Aguilera-Iparraguirre, Rafael Gómez-Bombarelli, Timothy Hirzel, Alán Aspuru-Guzik, Ryan P. Adams:
Convolutional Networks on Graphs for Learning Molecular Fingerprints. CoRR abs/1509.09292 (2015) - 2014
- [c1]Dougal Maclaurin, Ryan P. Adams:
Firefly Monte Carlo: Exact MCMC with Subsets of Data. UAI 2014: 543-552 - [i1]Dougal Maclaurin, Ryan P. Adams:
Firefly Monte Carlo: Exact MCMC with Subsets of Data. CoRR abs/1403.5693 (2014)
Coauthor Index
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