Roy Frostig
Google (United States)(US)
Publications by Year
Research Areas
Stochastic Gradient Optimization Techniques, Machine Learning and Algorithms, Sparse and Compressive Sensing Techniques, Adversarial Robustness in Machine Learning, Formal Methods in Verification
Most-Cited Works
- → Semantic Parsing on Freebase from Question-Answer Pairs(2013)1,566 cited
- Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity(2016)
- Compiling machine learning programs via high-level tracing(2018)
- → Measuring the Effects of Data Parallelism on Neural Network Training(2018)163 cited
- → Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization(2015)68 cited
- Competing with the Empirical Risk Minimizer in a Single Pass(2015)
- → Efficient and Modular Implicit Differentiation(2021)37 cited
- → Parente2: a fast and accurate method for detecting identity by descent(2014)19 cited