Kangwook Lee

Matrix sparsification for coded matrix multiplication

2017

Coded computation is a framework for providing redundancy in distributed computing systems to make them robust to slower nodes, or stragglers. In a recent work of Lee et al., the authors propose a coded computation …

Mini-Batch Optimization of Contrastive Loss

2023 · arXiv (Cornell University)

Contrastive learning has gained significant attention as a method for self-supervised learning. The contrastive loss function ensures that embeddings of positive sample pairs (e.g., different samples from the same class or different views of the …

LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization

2025 · arXiv (Cornell University)

We introduce LLM-Lasso, a novel framework that leverages large language models (LLMs) to guide feature selection in Lasso $\ell_1$ regression. Unlike traditional methods that rely solely on numerical data, LLM-Lasso incorporates domain-specific knowledge extracted from …