Roy Frostig

According to our database, Roy Frostig authored at least 20 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Learning from many trajectories.

Stephen Tu, Roy Frostig, Mahdi Soltanolkotabi

J. Mach. Learn. Res., 2024

2023

You Only Linearize Once: Tangents Transpose to Gradients.

Alexey Radul, Adam Paszke, Roy Frostig, Matthew J. Johnson, Dougal Maclaurin

Proc. ACM Program. Lang., January, 2023

2022

Efficient and Modular Implicit Differentiation.

Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation.

Xuesu Xiao, Tingnan Zhang, Krzysztof Marcin Choromanski, Tsang-Wei Edward Lee, Anthony G. Francis, Jake Varley, Stephen Tu, Sumeet Singh, Peng Xu, Fei Xia, Sven Mikael Persson, Dmitry Kalashnikov, Leila Takayama, Roy Frostig, Jie Tan, Carolina Parada, Vikas Sindhwani

Proceedings of the Conference on Robot Learning, 2022

2021

Decomposing reverse-mode automatic differentiation.

Roy Frostig, Matthew J. Johnson, Dougal Maclaurin, Adam Paszke, Alexey Radul

CoRR, 2021

Parallelism-preserving automatic differentiation for second-order array languages.

Adam Paszke, Matthew J. Johnson, Roy Frostig, Dougal Maclaurin

Proceedings of the FHPNC 2021: Proceedings of the 9th ACM SIGPLAN International Workshop on Functional High-Performance and Numerical Computing, 2021

2019

Measuring the Effects of Data Parallelism on Neural Network Training.

Christopher J. Shallue, Jaehoon Lee, Joseph M. Antognini, Jascha Sohl-Dickstein, Roy Frostig, George E. Dahl

J. Mach. Learn. Res., 2019

The advantages of multiple classes for reducing overfitting from test set reuse.

Vitaly Feldman, Roy Frostig, Moritz Hardt

Proceedings of the 36th International Conference on Machine Learning, 2019

Open Problem: How fast can a multiclass test set be overfit?

Vitaly Feldman, Roy Frostig, Moritz Hardt

Proceedings of the Conference on Learning Theory, 2019

2017

Lightweight statistical learning : accelerating and avoiding empirical risk minimization.

Roy Frostig

PhD thesis, 2017

Random Features for Compositional Kernels.

Amit Daniely, Roy Frostig, Vineet Gupta, Yoram Singer

CoRR, 2017

2016

Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity.

Amit Daniely, Roy Frostig, Yoram Singer

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Estimation from Indirect Supervision with Linear Moments.

Aditi Raghunathan, Roy Frostig, John C. Duchi, Percy Liang

Proceedings of the 33nd International Conference on Machine Learning, 2016

Principal Component Projection Without Principal Component Analysis.

Roy Frostig, Cameron Musco, Christopher Musco, Aaron Sidford

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization.

Roy Frostig, Rong Ge, Sham M. Kakade, Aaron Sidford

Proceedings of the 32nd International Conference on Machine Learning, 2015

Competing with the Empirical Risk Minimizer in a Single Pass.

Roy Frostig, Rong Ge, Sham M. Kakade, Aaron Sidford

Proceedings of The 28th Conference on Learning Theory, 2015

2014

Relaxations for inference in restricted Boltzmann machines.

Sida I. Wang, Roy Frostig, Percy Liang, Christopher D. Manning

Proceedings of the 2nd International Conference on Learning Representations, 2014

A sub-constant improvement in approximating the positive semidefinite Grothendieck problem.

Roy Frostig, Sida I. Wang

CoRR, 2014

Simple MAP Inference via Low-Rank Relaxations.

Roy Frostig, Sida Wang, Percy Liang, Christopher D. Manning

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Semantic Parsing on Freebase from Question-Answer Pairs.

Jonathan Berant, Andrew Chou, Roy Frostig, Percy Liang

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013