Nathan Srebro

Publications by Year

Research Areas

Sparse and Compressive Sensing Techniques, Stochastic Gradient Optimization Techniques, Machine Learning and Algorithms, Neural Networks and Applications, Face and Expression Recognition

Most-Cited Works

• → Equality of Opportunity in Supervised Learning(2016)1,908 cited
• → Pegasos: primal estimated sub-gradient solver for SVM(2010)1,516 cited
• → Pegasos(2007)986 cited
• → Fast maximum margin matrix factorization for collaborative prediction(2005)974 cited
• Maximum-Margin Matrix Factorization(2004)
• Weighted low-rank approximations(2003)
• → The Marginal Value of Adaptive Gradient Methods in Machine Learning(2017)552 cited
• Exploring Generalization in Deep Learning(2017)
• → Stochastic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm(2015)437 cited