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Kiran Koshy Thekumparampil
Kiran Koshy Thekumparampil
Other namesKiran Thekumparampil, Kiran K. Thekumparampil
Verified email at illinois.edu - Homepage
Title
Cited by
Cited by
Year
Attention-based graph neural network for semi-supervised learning
KK Thekumparampil, C Wang, S Oh, LJ Li
arXiv preprint arXiv:1803.03735, 2018
2762018
Efficient algorithms for smooth minimax optimization
KK Thekumparampil, P Jain, P Netrapalli, S Oh
Advances in Neural Information Processing Systems 32, 2019
1372019
Robustness of conditional gans to noisy labels
KK Thekumparampil, A Khetan, Z Lin, S Oh
Advances in neural information processing systems 31, 2018
1182018
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
74*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
442018
Collaboratively learning preferences from ordinal data
S Oh, KK Thekumparampil, J Xu
Advances in Neural Information Processing Systems 28, 2015
322015
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
172020
Combinatorial resource allocation using submodularity of waterfilling
K Thekumparampil, A Thangaraj, R Vaze
IEEE Transactions on Wireless Communications 15 (1), 206-216, 2015
122015
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
102022
Efficient algorithms for federated saddle point optimization
C Hou, KK Thekumparampil, G Fanti, S Oh
arXiv preprint arXiv:2102.06333, 2021
92021
Sample efficient linear meta-learning by alternating minimization
KK Thekumparampil, P Jain, P Netrapalli, S Oh
arXiv preprint arXiv:2105.08306, 2021
72021
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
42021
Reducing the communication cost of federated learning through multistage optimization
C Hou, KK Thekumparampil, G Fanti, S Oh
arXiv preprint arXiv:2108.06869, 2021
32021
Robust conditional gans under missing or uncertain labels
KK Thekumparampil, S Oh, A Khetan
arXiv preprint arXiv:1906.03579, 2019
32019
Sub-modularity of waterfilling with applications to online basestation allocation
KK Thekumparampil, A Thangaraj, R Vaze
arXiv preprint arXiv:1402.4892, 2014
32014
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
22021
Multistage stepsize schedule in federated learning: Bridging theory and practice
GFC Hou, K Thekumparampil, S Oh
ICML Workshop 12, 2021
22021
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
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
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