| A survey of modern questions and challenges in feature extraction D Storcheus, A Rostamizadeh, S Kumar Feature Extraction: Modern Questions and Challenges, 1-18, 2015 | 90 | 2015 |
| Learning a compressed sensing measurement matrix via gradient unrolling S Wu, A Dimakis, S Sanghavi, F Yu, D Holtmann-Rice, D Storcheus, ... International Conference on Machine Learning, 6828-6839, 2019 | 63 | 2019 |
| Regularized gradient boosting C Cortes, M Mohri, D Storcheus Advances in neural information processing systems 32, 2019 | 20 | 2019 |
| Agnostic learning with multiple objectives C Cortes, M Mohri, J Gonzalvo, D Storcheus Advances in Neural Information Processing Systems 33, 20485-20495, 2020 | 17 | 2020 |
| The sparse recovery autoencoder S Wu, AG Dimakis, S Sanghavi, FX Yu, D Holtmann-Rice, D Storcheus, ... | 10 | 2019 |
| Foundations of coupled nonlinear dimensionality reduction M Mohri, A Rostamizadeh, D Storcheus arXiv preprint arXiv:1509.08880, 2015 | 9 | 2015 |
| Foundations of coupled nonlinear dimensionality reduction D Storcheus, M Mohri, A Rostamizadeh arXiv preprint arXiv:1509.08880, 2015 | 7 | 2015 |
| Generalization bounds for supervised dimensionality reduction M Mohri, A Rostamizadeh, D Storcheus Feature Extraction: Modern Questions and Challenges, 226-241, 2015 | 6 | 2015 |
| Efficient gradient computation for structured output learning with rational and tropical losses C Cortes, V Kuznetsov, M Mohri, D Storcheus, S Yang Advances in Neural Information Processing Systems 31, 2018 | 5 | 2018 |
| Boosting with multiple sources C Cortes, M Mohri, D Storcheus, AT Suresh Advances in Neural Information Processing Systems 34, 17373-17387, 2021 | 4 | 2021 |
| Sparse recovery autoencoder X Yu, WU Shanshan, D Holtmann-rice, D Storcheus, S Kumar, ... US Patent App. 16/442,203, 2019 | 2 | 2019 |
| Theory and Algorithms for Several Central Problems in Large-Scale Machine Learning D Storcheus New York University, 2021 | | 2021 |
| Theoretical Foundations for Learning Kernels in Supervised Kernel PCA D Storcheus, M Mohri, A Rostamizadeh Neural Information Processing Systems, 2014 | | 2014 |
| Theoretical Foundations for Learning Kernels in Supervised Kernel PCA M Mohri, A Rostamizadeh, D Storcheus | | 2014 |
| Experiments in Foreign Exchange Forecasting Using Machine Learning Techniques T Waters, D Storcheus, W Kung | | 2013 |
| How much firm (specific risk is in option prices? D Storcheus, S Gelman | | 2012 |
| Continuous time option pricing with scheduled jumps in the underlying asset DSS Gelman | | |
Afshin RostamizadehGoogle ResearchVerified email at google.com
