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Computational Optimization Lab

Computational Optimization Lab

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Professor

About

기계학습을 연구한다. 계산 최적화 관점에서 학습 모델의 효율성과 성능을 다룬다.

Research keywords

Machine Learning

Selected publications

  • Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis RotationICML · 2026
  • Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction ConfidenceACL · 2026
  • The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMMICLR · 2026
  • SAFE: Finding Sparse and Flat Minima to Improve PruningICML · 2025
  • ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language ModelsICLR · 2025

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