Shoham Sabach
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
4
Active years
2022–2025
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | 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 |
| 2025 | ICML | Proxsparse: Regularized Learning of Semi-Structured Sparsity masks for Pretrained LLMS. | Hongyi Liu, Rajarshi Saha, Zhen Jia, Youngsuk Park, Jiaji Huang, Shoham Sabach, Yu-Xiang Wang, George Karypis |
| 2025 | ICML | 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 |
| 2024 | AISTATS | Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. | Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher |
| 2024 | ICLR | TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. | Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor |
| 2024 | ICML | Learning the Target Network in Function Space. | Kavosh Asadi, Yao Liu, Shoham Sabach, Ming Yin, Rasool Fakoor |
| 2024 | ICML | MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent. | Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham Sabach, Branislav Kveton, Volkan Cevher |
| 2023 | AISTATS | Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle. | Dan Garber, Tsur Livney, Shoham Sabach |
| 2022 | SIGIR | From Cluster Ranking to Document Ranking. | Egor Markovskiy, Fiana Raiber, Shoham Sabach, Oren Kurland |