| Learning invariant representations with kernel warping Y Ma, V Ganapathiraman, X Zhang The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 14 | 2019 |
| Inductive two-layer modeling with parametric bregman transfer V Ganapathiraman, Z Shi, X Zhang, Y Yu International Conference on Machine Learning, 1636-1645, 2018 | 7 | 2018 |
| Convex two-layer modeling with latent structure V Ganapathiraman, X Zhang, Y Yu, J Wen Advances in Neural Information Processing Systems 29, 2016 | 5 | 2016 |
| Convex representation learning for generalized invariance in semi-inner-product space Y Ma, V Ganapathiraman, Y Yu, X Zhang International Conference on Machine Learning, 6532-6542, 2020 | 3 | 2020 |
| IMPON: Efficient IMPortance sampling with ONline regression for rapid neural network training V Ganapathiraman, FC Rodriguez, A Joshi | 2 | 2022 |
| Learned learning rate schedules for deep neural network training using reinforcement learning S Subramanian, V Ganapathiraman, A El Gamal | 1 | 2023 |
| Convex Latent Representation Learning with Generalized Invariance V Ganapathiraman University of Illinois at Chicago, 2020 | 1 | 2020 |
| Zeroth Order GreedyLR: An Adaptive Learning Rate Scheduler for Deep Neural Network Training S Subramanian, V Ganapathiraman 2023 IEEE 4th International Conference on Pattern Recognition and Machine …, 2023 | | 2023 |
| BANDIT SAMPLING FOR FASTER NEURAL NETWORK TRAINING WITH SGD V Ganapathiraman, FJ Calderon, A Joshi | | 2023 |
| Bandit sampling for faster neural network training with SGD FC Rodriguez, A Joshi, V Ganapathiraman | | 2023 |
| Efficient learning rate schedules for stochastic non-negative matrix factorization via reinforcement learning S Subramanian, V Ganapathiraman, A El Gamal | | 2023 |
Xinhua ZhangUniversity of Illinois Chicago在 uic.edu 的电子邮件经过验证
