| Attention-based graph neural network for semi-supervised learning KK Thekumparampil, C Wang, S Oh, LJ Li arXiv preprint arXiv:1803.03735, 2018 | 235 | 2018 |
| Efficient algorithms for smooth minimax optimization KK Thekumparampil, P Jain, P Netrapalli, S Oh Advances in Neural Information Processing Systems 32, 2019 | 122 | 2019 |
| Robustness of conditional gans to noisy labels KK Thekumparampil, A Khetan, Z Lin, S Oh Advances in neural information processing systems 31, 2018 | 94 | 2018 |
| Infogan-cr and modelcentrality: Self-supervised model training and selection for disentangling gans Z Lin, K Thekumparampil, G Fanti, S Oh international conference on machine learning, 6127-6139, 2020 | 56* | 2020 |
| Learning from comparisons and choices S Negahban, S Oh, KK Thekumparampil, J Xu The Journal of Machine Learning Research 19 (1), 1478-1572, 2018 | 41 | 2018 |
| Collaboratively learning preferences from ordinal data S Oh, KK Thekumparampil, J Xu Advances in Neural Information Processing Systems 28, 2015 | 32 | 2015 |
| Projection efficient subgradient method and optimal nonsmooth frank-wolfe method KK Thekumparampil, P Jain, P Netrapalli, S Oh Advances in Neural Information Processing Systems 33, 12211-12224, 2020 | 15 | 2020 |
| Combinatorial resource allocation using submodularity of waterfilling K Thekumparampil, A Thangaraj, R Vaze IEEE Transactions on Wireless Communications 15 (1), 206-216, 2015 | 11 | 2015 |
| Efficient algorithms for federated saddle point optimization C Hou, KK Thekumparampil, G Fanti, S Oh arXiv preprint arXiv:2102.06333, 2021 | 6 | 2021 |
| Lifted primal-dual method for bilinearly coupled smooth minimax optimization KK Thekumparampil, N He, S Oh International Conference on Artificial Intelligence and Statistics, 4281-4308, 2022 | 4 | 2022 |
| Sample efficient linear meta-learning by alternating minimization KK Thekumparampil, P Jain, P Netrapalli, S Oh arXiv preprint arXiv:2105.08306, 2021 | 4 | 2021 |
| Robust conditional gans under missing or uncertain labels KK Thekumparampil, S Oh, A Khetan arXiv preprint arXiv:1906.03579, 2019 | 3 | 2019 |
| Sub-modularity of waterfilling with applications to online basestation allocation KK Thekumparampil, A Thangaraj, R Vaze arXiv preprint arXiv:1402.4892, 2014 | 3 | 2014 |
| Statistically and computationally efficient linear meta-representation learning KK Thekumparampil, P Jain, P Netrapalli, S Oh Advances in Neural Information Processing Systems 34, 18487-18500, 2021 | 2 | 2021 |
| Reducing the communication cost of federated learning through multistage optimization C Hou, KK Thekumparampil, G Fanti, S Oh arXiv preprint arXiv:2108.06869, 2021 | 2 | 2021 |
| Multistage stepsize schedule in federated learning: Bridging theory and practice GFC Hou, K Thekumparampil, S Oh ICML Workshop 12, 2021 | 2 | 2021 |
| Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization L Zhang, KK Thekumparampil, S Oh, N He arXiv preprint arXiv:2206.00363, 2022 | | 2022 |
| FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning C Hou, KK Thekumparampil, G Fanti, S Oh International Conference on Learning Representations, 2021 | | 2021 |
| Collaborative ranking from ordinal data KK Thekumparampil | | 2017 |
| Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization Download PDF KK Thekumparampil, N He, S Oh | | |
Sewoong OhPaul G. Allen School of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
