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 | 91 | 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 | 64 | 2019 |
Regularized gradient boosting C Cortes, M Mohri, D Storcheus Advances in neural information processing systems 32, 2019 | 21 | 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, ... | 11 | 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 | | |