Kaur, Simran

11 publications

ICLR 2025 Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning Simran Kaur, Simon Park, Anirudh Goyal, Sanjeev Arora

NeurIPS 2024 Can Models Learn Skill Composition from Examples? Haoyu Zhao, Simran Kaur, Dingli Yu, Anirudh Goyal, Sanjeev Arora

ICMLW 2024 Can Models Learn Skill Composition from Examples? Haoyu Zhao, Simran Kaur, Dingli Yu, Anirudh Goyal, Sanjeev Arora

NeurIPSW 2024 Can Models Learn Skill Composition from Examples? Haoyu Zhao, Simran Kaur, Dingli Yu, Anirudh Goyal, Sanjeev Arora

NeurIPSW 2024 Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning Simran Kaur, Simon Park, Anirudh Goyal, Sanjeev Arora

NeurIPSW 2024 Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning Simran Kaur, Simon Park, Anirudh Goyal, Sanjeev Arora

ICLR 2024 SKILL-MIX: A Flexible and Expandable Family of Evaluations for AI Models Dingli Yu, Simran Kaur, Arushi Gupta, Jonah Brown-Cohen, Anirudh Goyal, Sanjeev Arora

ICLR 2023 Disentangling the Mechanisms Behind Implicit Regularization in SGD Zachary Novack, Simran Kaur, Tanya Marwah, Saurabh Garg, Zachary Chase Lipton

NeurIPSW 2023 Skill-Mix: A Flexible and Expandable Family of Evaluations for AI Models Dingli Yu, Simran Kaur, Arushi Gupta, Jonah Brown-Cohen, Anirudh Goyal, Sanjeev Arora

NeurIPSW 2022 On the Maximum Hessian Eigenvalue and Generalization Simran Kaur, Jeremy Cohen, Zachary Chase Lipton

ICLR 2021 Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability Jeremy Cohen, Simran Kaur, Yuanzhi Li, J Zico Kolter, Ameet Talwalkar