Frostig, Roy

13 publications

JMLR 2024 Learning from Many Trajectories Stephen Tu, Roy Frostig, Mahdi Soltanolkotabi
NeurIPS 2022 Efficient and Modular Implicit Differentiation Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-Lopez, Fabian Pedregosa, Jean-Philippe Vert
CoRL 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 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
JMLR 2019 Measuring the Effects of Data Parallelism on Neural Network Training Christopher J. Shallue, Jaehoon Lee, Joseph Antognini, Jascha Sohl-Dickstein, Roy Frostig, George E. Dahl
COLT 2019 Open Problem: How Fast Can a Multiclass Test Set Be Overfit? Vitaly Feldman, Roy Frostig, Moritz Hardt
ICML 2019 The Advantages of Multiple Classes for Reducing Overfitting from Test Set Reuse Vitaly Feldman, Roy Frostig, Moritz Hardt
ICML 2016 Estimation from Indirect Supervision with Linear Moments Aditi Raghunathan, Roy Frostig, John Duchi, Percy Liang
ICML 2016 Principal Component Projection Without Principal Component Analysis Roy Frostig, Cameron Musco, Christopher Musco, Aaron Sidford
NeurIPS 2016 Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity Amit Daniely, Roy Frostig, Yoram Singer
COLT 2015 Competing with the Empirical Risk Minimizer in a Single Pass Roy Frostig, Rong Ge, Sham M. Kakade, Aaron Sidford
ICML 2015 Un-Regularizing: Approximate Proximal Point and Faster Stochastic Algorithms for Empirical Risk Minimization Roy Frostig, Rong Ge, Sham Kakade, Aaron Sidford
ICLR 2014 Relaxations for Inference in Restricted Boltzmann Machines Sida I. Wang, Roy Frostig, Percy Liang, Christopher D. Manning
NeurIPS 2014 Simple MAP Inference via Low-Rank Relaxations Roy Frostig, Sida Wang, Percy Liang, Christopher D. Manning