ML Anthology

Thekumparampil, Kiran Koshy

11 publications

ICML 2025 Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method Kiran Koshy Thekumparampil, Gaurush Hiranandani, Kousha Kalantari, Shoham Sabach, Branislav Kveton
ICLRW 2025 Data-Efficient Supervised Fine-Tuning of Language Models Using Optimal Design Rohan Deb, Kiran Koshy Thekumparampil, Kousha Kalantari, Gaurush Hiranandani, Shoham Sabach, Branislav Kveton
ICML 2025 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
NeurIPS 2025 Zeroth-Order Optimization Finds Flat Minima Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Michael Muehlebach, Niao He
ICLR 2024 Accelerating Sinkhorn Algorithm with Sparse Newton Iterations Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
ICML 2024 DPZero: Private Fine-Tuning of Language Models Without Backpropagation Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He
TMLR 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
ICMLW 2024 Pretrained Deep Models Outperform GBDTs in Learning-to-Rank Under Label Scarcity Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Sujay Sanghavi
NeurIPSW 2023 DPZero: Dimension-Independent and Differentially Private Zeroth-Order Optimization Liang Zhang, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He
ICMLW 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
ICLR 2022 FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh