Showing results 1 to 9 of 9
| Title | Author(s) | Issue Date | Views | |
|---|---|---|---|---|
Learning and generalization in overparameterized neural networks, going beyond two layers Proceeding/Conference:Advances in Neural Information Processing Systems | 2019 | |||
Learning Mixtures of Linear Regressions with Nearly Optimal Complexity Proceeding/Conference:Proceedings of Machine Learning Research | 2018 | |||
Learning overparameterized neural networks via stochastic gradient descent on structured data Proceeding/Conference:Advances in Neural Information Processing Systems | 2018 | |||
Provable alternating gradient descent for non-negative matrix factorization with strong correlations Proceeding/Conference:34th International Conference on Machine Learning, ICML 2017 | 2017 | |||
Recovery guarantee of non-negative matrix factorization via alternating updates Proceeding/Conference:Advances in Neural Information Processing Systems | 2016 | |||
Recovery guarantee of weighted low-rank approximation via alternating minimization Proceeding/Conference:33rd International Conference on Machine Learning, ICML 2016 | 2016 | |||
The Benefits of Mixup for Feature Learning
Proceeding/Conference:Fortieth International Conference on Machine Learning (ICML) (23/07/2023-29/07/2023, Honolulu, Hawaii, USA) | 23-Jul-2023 | |||
The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks
Proceeding/Conference:36th Annual Conference on Learning Theory (COLT 2023) (12/07/2023-15/07/2023, Bangalore, India) | 15-Jul-2023 | |||
Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization Proceeding/Conference:International Conference on Learning Representations (ICLR 2023) (01/05/2023-05/05/2023, Kigali, Rwanda) | 5-May-2023 |