Jui-Nan Yen

According to our database, Jui-Nan Yen authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization.

Jui-Nan Yen, Si Si, Zhao Meng, Felix X. Yu, Sai Surya Duvvuri, Inderjit S. Dhillon, Cho-Jui Hsieh, Sanjiv Kumar

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review.

Neha Prakriya, Jui-Nan Yen, Cho-Jui Hsieh, Jason Cong

CoRR, 2024

RecTS: A Temporal-Aware Memory System Optimization for Training Deep Learning Recommendation Models.

Cheng-Yu Chen, Jui-Nan Yen, You-Ru Lai, Yun-Ping Lin, Chia-Lin Yang

Proceedings of the 17th ACM International Systems and Storage Conference, 2024

2023

Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization.

Jui-Nan Yen, Sai Surya Duvvuri, Inderjit S. Dhillon, Cho-Jui Hsieh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Practical Counterfactual Policy Learning for Top-K Recommendations.

Yaxu Liu, Jui-Nan Yen, Bo-Wen Yuan, Rundong Shi, Peng Yan, Chih-Jen Lin

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Efficient Bad Block Management with Cluster Similarity.

Jui-Nan Yen, Yao-Ching Hsieh, Cheng-Yu Chen, Tseng-Yi Chen, Chia-Lin Yang, Hsiang-Yun Cheng, Yixin Luo

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2021

Limited-memory Common-directions Method With Subsampled Newton Directions for Large-scale Linear Classification.

Jui-Nan Yen, Chih-Jen Lin

Proceedings of the IEEE International Conference on Data Mining, 2021