Wooseok Ha

19 papers A* 3A 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Distributionally Robust Classification for Multi-source Unsupervised Domain Adaptation.
CoRR
Seonghwi Kim, Sungho Jo, Wooseok Ha, Minwoo Chae
2025 J jnl
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms.
J. Mach. Learn. Res.
Keru Wu, Yuansi Chen, Wooseok Ha, Bin Yu
2025 J jnl
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning.
J. Mach. Learn. Res.
Nikhil Ghosh, Spencer Frei, Wooseok Ha, Bin Yu
2025 J jnl
When few labeled target data suffice: a theory of semi-supervised domain adaptation via fine-tuning from multiple adaptive starts.
CoRR
Wooseok Ha, Yuansi Chen
2024 A* conf
Reasoning and Planning with Large Language Models in Code Development.
KDD
Hao Ding, Ziwei Fan, Ingo Gühring, Gaurav Gupta, Wooseok Ha, Jun Huan, Linbo Liu, Behrooz Omidvar-Tehrani, Shiqi Wang, Hao Zhou
2024 A* conf
Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models.
ICML
Tanmay Gautam, Youngsuk Park, Hao Zhou, Parameswaran Raman, Wooseok Ha
2024 J jnl
Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models.
CoRR
Tanmay Gautam, Youngsuk Park, Hao Zhou, Parameswaran Raman, Wooseok Ha
2023 J jnl
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms.
CoRR
Keru Wu, Yuansi Chen, Wooseok Ha, Bin Yu
2023 J jnl
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning.
CoRR
Nikhil Ghosh, Spencer Frei, Wooseok Ha, Bin Yu
2021 A* conf
Adaptive wavelet distillation from neural networks through interpretations.
NeurIPS
Wooseok Ha, Chandan Singh, François Lanusse, Srigokul Upadhyayula, Bin Yu
2021 J jnl
Adaptive wavelet distillation from neural networks through interpretations.
CoRR
Wooseok Ha, Chandan Singh, François Lanusse, Eli Song, Song Dang, Kangmin He, Srigokul Upadhyayula, Bin Yu
2021 J jnl
Interpreting and improving deep-learning models with reality checks.
CoRR
Chandan Singh, Wooseok Ha, Bin Yu
2021 J jnl
Statistical guarantees for local graph clustering.
J. Mach. Learn. Res.
Wooseok Ha, Kimon Fountoulakis, Michael W. Mahoney
2020 J jnl
An Equivalence between Critical Points for Rank Constraints Versus Low-Rank Factorizations.
SIAM J. Optim.
Wooseok Ha, Haoyang Liu, Rina Foygel Barber
2020 — conf
Interpreting and Improving Deep-Learning Models with Reality Checks.
xxAI@ICML
Chandan Singh, Wooseok Ha, Bin Yu
2020 A conf
Statistical guarantees for local graph clustering.
AISTATS
Wooseok Ha, Kimon Fountoulakis, Michael W. Mahoney
2020 J jnl
Transformation Importance with Applications to Cosmology.
CoRR
Chandan Singh, Wooseok Ha, François Lanusse, Vanessa Böhm, Jia Liu, Bin Yu
2019 J jnl
Statistical guarantees for local graph clustering.
CoRR
Wooseok Ha, Kimon Fountoulakis, Michael W. Mahoney
2015 — conf
Robust PCA with compressed data.
NIPS
Wooseok Ha, Rina Foygel Barber