Dougal Maclaurin

24 papers A* 2A 2Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	PartIR: Composing SPMD Partitioning Strategies for Machine Learning. ASPLOS (1) Sami Alabed, Daniel Belov, 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
2024	J	`jnl`	Parallel Algebraic Effect Handlers. Proc. ACM Program. Lang. Ningning Xie, Daniel D. Johnson, Dougal Maclaurin, Adam Paszke
2024	J	`jnl`	PartIR: Composing SPMD Partitioning Strategies for Machine Learning. CoRR 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
2023	J	`jnl`	You Only Linearize Once: Tangents Transpose to Gradients. Proc. ACM Program. Lang. Alexey Radul, Adam Paszke, Roy Frostig, Matthew J. Johnson, Dougal Maclaurin
2022	—	`conf`	The Foil: Capture-Avoiding Substitution With No Sharp Edges. IFL Dougal Maclaurin, Alexey Radul, Adam Paszke
2022	J	`jnl`	The Foil: Capture-Avoiding Substitution With No Sharp Edges. CoRR Dougal Maclaurin, Alexey Radul, Adam Paszke
2022	J	`jnl`	You Only Linearize Once: Tangents Transpose to Gradients. CoRR Alexey Radul, Adam Paszke, Roy Frostig, Matthew J. Johnson, Dougal Maclaurin
2021	J	`jnl`	Decomposing reverse-mode automatic differentiation. CoRR Roy Frostig, Matthew J. Johnson, Dougal Maclaurin, Adam Paszke, Alexey Radul
2021	J	`jnl`	Getting to the Point. Index Sets and Parallelism-Preserving Autodiff for Pointful Array Programming. CoRR Adam Paszke, Daniel D. Johnson, David Duvenaud, Dimitrios Vytiniotis, Alexey Radul, Matthew J. Johnson, Jonathan Ragan-Kelley, Dougal Maclaurin
2021	J	`jnl`	Getting to the point: index sets and parallelism-preserving autodiff for pointful array programming. Proc. ACM Program. Lang. Adam Paszke, Daniel D. Johnson, David Duvenaud, Dimitrios Vytiniotis, Alexey Radul, Matthew J. Johnson, Jonathan Ragan-Kelley, Dougal Maclaurin
2021	J	`jnl`	Parallel Algebraic Effect Handlers. CoRR Ningning Xie, Daniel D. Johnson, Dougal Maclaurin, Adam Paszke
2021	—	`conf`	Parallelism-preserving automatic differentiation for second-order array languages. FHPNC@ICFP Adam Paszke, Matthew J. Johnson, Roy Frostig, Dougal Maclaurin
2020	—	`conf`	Automatically batching control-intensive programs for modern accelerators. MLSys Alexey Radul, Brian Patton, Dougal Maclaurin, Matthew D. Hoffman, Rif A. Saurous
2020	J	`jnl`	Differentiating a Tensor Language. CoRR Gilbert Bernstein, Michael Mara, Tzu-Mao Li, Dougal Maclaurin, Jonathan Ragan-Kelley
2019	J	`jnl`	Automatically Batching Control-Intensive Programs for Modern Accelerators. CoRR Alexey Radul, Brian Patton, Dougal Maclaurin, Matthew D. Hoffman, Rif A. Saurous
2016	A	`conf`	Early Stopping as Nonparametric Variational Inference. AISTATS David Duvenaud, Dougal Maclaurin, Ryan P. Adams
2015	—	`conf`	Convolutional Networks on Graphs for Learning Molecular Fingerprints. NIPS David Duvenaud, Dougal Maclaurin, Jorge Aguilera-Iparraguirre, Rafael Gómez-Bombarelli, Timothy Hirzel, Alán Aspuru-Guzik, Ryan P. Adams
2015	J	`jnl`	Convolutional Networks on Graphs for Learning Molecular Fingerprints. CoRR David Duvenaud, Dougal Maclaurin, Jorge Aguilera-Iparraguirre, Rafael Gómez-Bombarelli, Timothy Hirzel, Alán Aspuru-Guzik, Ryan P. Adams
2015	J	`jnl`	Early Stopping is Nonparametric Variational Inference. CoRR Dougal Maclaurin, David Duvenaud, Ryan P. Adams
2015	A*	`conf`	Firefly Monte Carlo: Exact MCMC with Subsets of Data. IJCAI Dougal Maclaurin, Ryan Prescott Adams
2015	A*	`conf`	Gradient-based Hyperparameter Optimization through Reversible Learning. ICML Dougal Maclaurin, David Duvenaud, Ryan P. Adams
2015	J	`jnl`	Gradient-based Hyperparameter Optimization through Reversible Learning. CoRR Dougal Maclaurin, David Duvenaud, Ryan P. Adams
2014	A	`conf`	Firefly Monte Carlo: Exact MCMC with Subsets of Data. UAI Dougal Maclaurin, Ryan P. Adams
2014	J	`jnl`	Firefly Monte Carlo: Exact MCMC with Subsets of Data. CoRR Dougal Maclaurin, Ryan P. Adams