Robust PCA with compressed data. - Wooseok Ha; Rina Foygel Barber (NIPS, 2015)

Statistical guarantees for local graph clustering. - Wooseok Ha; Kimon Fountoulakis; Michael W. Mahoney (AISTATS, 2020)

Interpreting and Improving Deep-Learning Models with Reality Checks. - Chandan Singh; Wooseok Ha; Bin Yu 001 (xxAI@ICML, 2020)

Transformation Importance with Applications to Cosmology. - Chandan Singh; Wooseok Ha; François Lanusse; Vanessa Böhm; Jia Liu; Bin Yu 001 (CoRR, 2020)

An Equivalence between Critical Points for Rank Constraints Versus Low-Rank Factorizations. - Wooseok Ha; Haoyang Liu; Rina Foygel Barber (SIAM J. Optim., 2020)

Adaptive wavelet distillation from neural networks through interpretations. - Wooseok Ha; Chandan Singh; François Lanusse; Srigokul Upadhyayula; Bin Yu 001 (NeurIPS, 2021)

Adaptive wavelet distillation from neural networks through interpretations. - Wooseok Ha; Chandan Singh; François Lanusse; Eli Song; Song Dang; Kangmin He; Srigokul Upadhyayula; Bin Yu 001 (CoRR, 2021)

The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning. - Nikhil Ghosh; Spencer Frei; Wooseok Ha; Bin Yu 001 (CoRR, 2023)

Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms. - Keru Wu; Yuansi Chen; Wooseok Ha; Bin Yu 001 (CoRR, 2023)

Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models. - Tanmay Gautam; Youngsuk Park; Hao Zhou; Parameswaran Raman; Wooseok Ha (ICML, 2024)

Reasoning and Planning with Large Language Models in Code Development. - Hao Ding 003; Ziwei Fan 001; Ingo Gühring; Gaurav Gupta; Wooseok Ha; Jun Huan; Linbo Liu; Behrooz Omidvar-Tehrani; Shiqi Wang 002; Hao Zhou 036 (KDD, 2024)

When few labeled target data suffice: a theory of semi-supervised domain adaptation via fine-tuning from multiple adaptive starts. - Wooseok Ha; Yuansi Chen (CoRR, 2025)