Kiran Koshy Thekumparampil

According to our database, Kiran Koshy Thekumparampil authored at least 23 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Sinkhorn-type Algorithm for Constrained Optimal Transport.

Xun Tang, Holakou Rahmanian, Michael Shavlovsky, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying

CoRR, 2024

DPZero: Private Fine-Tuning of Language Models without Backpropagation.

Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Accelerating Sinkhorn algorithm with sparse Newton iterations.

Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

DPZero: Dimension-Independent and Differentially Private Zeroth-Order Optimization.

Liang Zhang, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He

CoRR, 2023

Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity.

Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Yesh Dattatreya, Sujay Sanghavi

CoRR, 2023

2022

Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization.

Liang Zhang, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning.

Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh

Proceedings of the Tenth International Conference on Learning Representations, 2022

Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization.

Kiran Koshy Thekumparampil, Niao He, Sewoong Oh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Reducing the Communication Cost of Federated Learning through Multistage Optimization.

Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh

CoRR, 2021

Sample Efficient Linear Meta-Learning by Alternating Minimization.

Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh

CoRR, 2021

Efficient Algorithms for Federated Saddle Point Optimization.

Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh

CoRR, 2021

Statistically and Computationally Efficient Linear Meta-representation Learning.

Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method.

Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs.

Zinan Lin, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers.

Zinan Lin, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh

CoRR, 2019

Robust conditional GANs under missing or uncertain labels.

Kiran Koshy Thekumparampil, Sewoong Oh, Ashish Khetan

CoRR, 2019

Efficient Algorithms for Smooth Minimax Optimization.

Kiran Koshy Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Learning from Comparisons and Choices.

Sahand Negahban, Sewoong Oh, Kiran Koshy Thekumparampil, Jiaming Xu

J. Mach. Learn. Res., 2018

Attention-based Graph Neural Network for Semi-supervised Learning.

Kiran Koshy Thekumparampil, Chong Wang, Sewoong Oh, Li-Jia Li

CoRR, 2018

Robustness of conditional GANs to noisy labels.

Kiran Koshy Thekumparampil, Ashish Khetan, Zinan Lin, Sewoong Oh

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Combinatorial Resource Allocation Using Submodularity of Waterfilling.

Kiran Koshy Thekumparampil, Andrew Thangaraj, Rahul Vaze

IEEE Trans. Wirel. Commun., 2016

2015

Collaboratively Learning Preferences from Ordinal Data.

Sewoong Oh, Kiran Koshy Thekumparampil, Jiaming Xu

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Sub-Modularity of Waterfilling with Applications to Online Basestation Allocation.

Kiran Koshy Thekumparampil, Andrew Thangaraj, Rahul Vaze

CoRR, 2014