Kiran Koshy Thekumparampil

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 26

Top Topics

Alternating Minimization

Top Venues

Publications

Xun Tang, Holakou Rahmanian, Michael Shavlovsky, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
A Sinkhorn-type Algorithm for Constrained Optimal Transport. CoRR (2024)
Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations. CoRR (2024)
Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
Accelerating Sinkhorn algorithm with sparse Newton iterations. ICLR (2024)
Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Yesh Dattatreya, Sujay Sanghavi
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity. CoRR (2023)
Liang Zhang, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He
DPZero: Dimension-Independent and Differentially Private Zeroth-Order Optimization. CoRR (2023)
Kiran Koshy Thekumparampil, Niao He, Sewoong Oh
Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization. AISTATS (2022)
Liang Zhang, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization. CoRR (2022)
Kiran Koshy Thekumparampil, Niao He, Sewoong Oh
Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization. CoRR (2022)
Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh
FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning. ICLR (2022)
Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh
Statistically and Computationally Efficient Linear Meta-representation Learning. NeurIPS (2021)
Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh
Reducing the Communication Cost of Federated Learning through Multistage Optimization. CoRR (2021)
Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh
Efficient Algorithms for Federated Saddle Point Optimization. CoRR (2021)
Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh
Sample Efficient Linear Meta-Learning by Alternating Minimization. CoRR (2021)
Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh
Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method. CoRR (2020)
Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh
Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method. NeurIPS (2020)
Zinan Lin, Kiran Koshy Thekumparampil, Giulia C. Fanti, Sewoong Oh
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs. ICML (2020)
Kiran Koshy Thekumparampil, Sewoong Oh, Ashish Khetan
Robust conditional GANs under missing or uncertain labels. CoRR (2019)
Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh
Efficient Algorithms for Smooth Minimax Optimization. CoRR (2019)
Zinan Lin, Kiran Koshy Thekumparampil, Giulia C. Fanti, Sewoong Oh
InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers. CoRR (2019)
Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh
Efficient Algorithms for Smooth Minimax Optimization. NeurIPS (2019)
Sahand Negahban, Sewoong Oh, Kiran Koshy Thekumparampil, Jiaming Xu
Learning from Comparisons and Choices. J. Mach. Learn. Res. 19 (2018)
Kiran Koshy Thekumparampil, Ashish Khetan, Zinan Lin, Sewoong Oh
Robustness of conditional GANs to noisy labels. NeurIPS (2018)
Kiran Koshy Thekumparampil, Ashish Khetan, Zinan Lin, Sewoong Oh
Robustness of Conditional GANs to Noisy Labels. CoRR (2018)
Kiran Koshy Thekumparampil, Chong Wang, Sewoong Oh, Li-Jia Li
Attention-based Graph Neural Network for Semi-supervised Learning. CoRR (2018)
Sahand Negahban, Sewoong Oh, Kiran Koshy Thekumparampil, Jiaming Xu
Learning from Comparisons and Choices. CoRR (2017)
Kiran Koshy Thekumparampil, Andrew Thangaraj, Rahul Vaze
Combinatorial Resource Allocation Using Submodularity of Waterfilling. IEEE Trans. Wirel. Commun. 15 (1) (2016)
Sewoong Oh, Kiran Koshy Thekumparampil, Jiaming Xu
Collaboratively Learning Preferences from Ordinal Data. NIPS (2015)
Sewoong Oh, Kiran Koshy Thekumparampil, Jiaming Xu
Collaboratively Learning Preferences from Ordinal Data. CoRR (2015)
Kiran Koshy Thekumparampil, Andrew Thangaraj, Rahul Vaze
Sub-Modularity of Waterfilling with Applications to Online Basestation Allocation. CoRR (2014)