| A markov chain theory approach to characterizing the minimax optimality of stochastic gradient descent (for least squares) P Jain, SM Kakade, R Kidambi, P Netrapalli, VK Pillutla, A Sidford arXiv preprint arXiv:1710.09430, 2017 | 11 | 2017 |
| Data driven resource allocation for distributed learning T Dick, M Li, VK Pillutla, C White, N Balcan, A Smola Artificial Intelligence and Statistics, 662-671, 2017 | 11 | 2017 |
| A smoother way to train structured prediction models VK Pillutla, V Roulet, SM Kakade, Z Harchaoui Advances in Neural Information Processing Systems 31, 2018 | 8 | 2018 |
| Reconstructing cancer drug response networks using multitask learning M Ruffalo, P Stojanov, VK Pillutla, R Varma, Z Bar-Joseph BMC systems biology 11 (1), 1-15, 2017 | 6 | 2017 |
| On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries VK Pillutla, Z Fang, P Devineni, C Faloutsos, D Koutra, J Tang Proceedings of the 2016 SIAM International Conference on Data Mining, 783-791, 2016 | 3 | 2016 |
| Data Driven Resource Allocation for Distributed Machine Learning VK Pillutla Carnegie Mellon University Pittsburgh, PA, 2015 | | 2015 |
| Distributed Machine Learning: Iterative Convex Optimization Methods VKK Pillutla Indian Institute of Technology Bombay Mumbai 400076, India, 2014 | | 2014 |
| MS Theses by Author SP BANGARU, DY CHUNG, SJ HAN, W HE, J JIN, A KARANDIKAR, ... | | |
| HARCHOL-BALTER, Mor CMU-CS-15-141, CMU-CS-15-141R HARKES, Jan CMU-CS-15-115 HAUPTMANN, Alex CMU-CS-15-103 HE, Wangzi CMU-CS-15-129 W HU, L JIANG, K JOSHI, A KARANDIKAR, SD KLEE, A KOMURAVELLI, ... | | |
| Using Multi-task Learning to Predict Signaling and Regulatory Pathways VK Pillutla, R Varma, P Stojanov | | |
