Sub-Modularity of Waterfilling with Applications to Online Basestation Allocation. - Kiran Koshy Thekumparampil; Andrew Thangaraj; Rahul Vaze (CoRR, 2014)

Collaboratively Learning Preferences from Ordinal Data. - Sewoong Oh; Kiran Koshy Thekumparampil; Jiaming Xu 002 (NIPS, 2015)

Combinatorial Resource Allocation Using Submodularity of Waterfilling. - Kiran Koshy Thekumparampil; Andrew Thangaraj; Rahul Vaze (IEEE Trans. Wirel. Commun., 2016)

Robustness of conditional GANs to noisy labels. - Kiran Koshy Thekumparampil; Ashish Khetan; Zinan Lin 001; Sewoong Oh (NeurIPS, 2018)

Attention-based Graph Neural Network for Semi-supervised Learning. - Kiran Koshy Thekumparampil; Chong Wang 002; Sewoong Oh; Li-Jia Li 001 (CoRR, 2018)

Learning from Comparisons and Choices. - Sahand Negahban; Sewoong Oh; Kiran Koshy Thekumparampil; Jiaming Xu 002 (J. Mach. Learn. Res., 2018)

Efficient Algorithms for Smooth Minimax Optimization. - Kiran Koshy Thekumparampil; Prateek Jain 002; Praneeth Netrapalli; Sewoong Oh (NeurIPS, 2019)

Robust conditional GANs under missing or uncertain labels. - Kiran Koshy Thekumparampil; Sewoong Oh; Ashish Khetan (CoRR, 2019)

InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers. - Zinan Lin 001; Kiran Koshy Thekumparampil; Giulia Fanti; Sewoong Oh (CoRR, 2019)

InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs. - Zinan Lin 001; Kiran Koshy Thekumparampil; Giulia Fanti; Sewoong Oh (ICML, 2020)

Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method. - Kiran Koshy Thekumparampil; Prateek Jain 002; Praneeth Netrapalli; Sewoong Oh (NeurIPS, 2020)

Statistically and Computationally Efficient Linear Meta-representation Learning. - Kiran Koshy Thekumparampil; Prateek Jain 002; Praneeth Netrapalli; Sewoong Oh (NeurIPS, 2021)

Efficient Algorithms for Federated Saddle Point 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 002; Praneeth Netrapalli; Sewoong Oh (CoRR, 2021)

Reducing the Communication Cost of Federated Learning through Multistage Optimization. - Charlie Hou; Kiran Koshy Thekumparampil; Giulia Fanti; Sewoong Oh (CoRR, 2021)

Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization. - Kiran Koshy Thekumparampil; Niao He; Sewoong Oh (AISTATS, 2022)

FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning. - Charlie Hou; Kiran Koshy Thekumparampil; Giulia Fanti; Sewoong Oh (ICLR, 2022)

Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization. - Liang Zhang; Kiran Koshy Thekumparampil; Sewoong Oh; Niao He (NeurIPS, 2022)

DPZero: Dimension-Independent and Differentially Private Zeroth-Order Optimization. - Liang Zhang; Kiran Koshy Thekumparampil; Sewoong Oh; Niao He (CoRR, 2023)

Accelerating Sinkhorn algorithm with sparse Newton iterations. - Xun Tang; Michael Shavlovsky; Holakou Rahmanian; Elisa Tardini; Kiran Koshy Thekumparampil; Tesi Xiao; Lexing Ying (ICLR, 2024)

DPZero: Private Fine-Tuning of Language Models without Backpropagation. - Liang Zhang; Bingcong Li; Kiran Koshy Thekumparampil; Sewoong Oh; Niao He (ICML, 2024)

A Sinkhorn-type Algorithm for Constrained Optimal Transport. - Xun Tang; Holakou Rahmanian; Michael Shavlovsky; Kiran Koshy Thekumparampil; Tesi Xiao; Lexing Ying (CoRR, 2024)

Comparing Few to Rank Many: Active Human Preference Learning using Randomized Frank-Wolfe. - Kiran Koshy Thekumparampil; Gaurush Hiranandani; Kousha Kalantari; Shoham Sabach; Branislav Kveton (CoRR, 2024)

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 (Trans. Mach. Learn. Res., 2024)

FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain. - Rohan Deb; Kiran Koshy Thekumparampil; Kousha Kalantari; Gaurush Hiranandani; Shoham Sabach; Branislav Kveton (CoRR, 2025)

Zeroth-Order Optimization Finds Flat Minima. - Liang Zhang; Bingcong Li; Kiran Koshy Thekumparampil; Sewoong Oh; Michael Muehlebach; Niao He (CoRR, 2025)