Limited-memory Common-directions Method With Subsampled Newton Directions for Large-scale Linear Classification. - Jui-Nan Yen; Chih-Jen Lin (ICDM, 2021)

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 (HPCA, 2022)

Practical Counterfactual Policy Learning for Top-K Recommendations. - Yaxu Liu; Jui-Nan Yen; Bo-Wen Yuan; Rundong Shi; Peng Yan; Chih-Jen Lin (KDD, 2022)

Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization. - Jui-Nan Yen; Sai Surya Duvvuri; Inderjit S. Dhillon; Cho-Jui Hsieh (NeurIPS, 2023)

Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review. - Neha Prakriya; Jui-Nan Yen; Cho-Jui Hsieh; Jason Cong (CoRR, 2024)

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 (ICLR, 2025)