Publications

See Google Scholar for full details.
_{* denotes equal contribution}

Why is SAM Robust to Label Noise? [arxiv]
Christina Baek, Zico Kolter, Aditi Raghunathan
- International Conference on Learning Representations (ICLR) 2024
- International Conference in Machine Learning (ICML) Spurious correlations, Invariance, and Stability Workshop 2023

On the Joint Interaction of Models, Data, and Features [arxiv]
Yiding Jiang, Christina Baek, Zico Kolter
- International Conference on Learning Representations (ICLR) 2024 (Oral)
- International Conference in Machine Learning (ICML) High-dimensional Learning Dynamics Workshop 2023

Predicting the Performance of Foundation Models via Agreement-on-the-Line [arxiv]
Aman Mehra, Rahul Saxena, Taeyoun Kim, Christina Baek, Zico Kolter, Aditi Raghunathan
- Neural Information Processing Systems (NeurIPS) DistShift Workshop 2023
- Neural Information Processing Systems (NeurIPS) R0-FoMo Workshop 2023

Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift [arxiv]
Christina Baek, Yiding Jiang, Aditi Raghunathan, Zico Kolter
- Neural Information Processing Systems (NeurIPS) 2022 (Oral)
- International Conference in Machine Learning (ICML) Principles of Distribution Shift Workshop 2022

Efficient Maximal Coding Rate Reduction by Variational Forms [arxiv]
Christina Baek*, Ziyang Wu*, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele
- Conference of Computer Vision and Pattern Recognition (CVPR) 2022

Computational Benefits of Intermediate Rewards for Hierarchical Planning [arxiv]
Yuexiang Zhai, Christina Baek, Zhengyuan Zhou, Jiantao Jiao, Yi Ma
- Journal of Artificial Intelligence Research (JAIR) 2022

Assessing Generalization of SGD via Disagreement [arxiv]
Yiding Jiang*, Vaishnavh Nagarajan*, Christina Baek, and J. Zico Kolter
- International Conference on Learning Representations (ICLR) 2022 (Spotlight)
- International Conference in Machine Learning (ICML) Workshop on Overparameterization: Pitfalls & Opportunities 2021

Incremental Learning via Rate Reduction [arxiv]
Ziyang Wu*, Christina Baek*, Chong You, and Yi Ma
- Conference of Computer Vision and Pattern Recognition (CVPR) 2021.
- International Conference in Machine Learning (ICML) Workshop on Theory and Foundation of Continual Learning 2021 (Oral)

The Landscape of Genetic Content in the Gut and Oral Human Microbiome [pubmed]
Braden Tierney, Zhen Yang, Jacob Luber, Marc Beaudin, Marsha Wibowo, Christina Baek, Chirag Patel, and Aleksandar Kostic
- Cell Host and Microbe, 26(2): 283-295, 2019

USP11 enhances TGF-b-induced epithelial-mesenchymal plasticity and human breast cancer metastasis [pubmed]
Daniel Garcia, Christina Baek, Monica Estrada, Tiffani Tysl, Eric Bennett, Jing Yang, and John Chang
- Molecular Cancer Research, 16(7): 1172-1184, 2018

Inhibition of Spontaneous and Experimental Lung Metastasis of Soft-Tissue Sarcoma by Tumor-Targeting Salmonella typhimurium A1-R [pubmed]
Shinji Miwa, Yong Zhang, Kyung-Eun Baek, Fuminari Uehara, Shuya Yano, Mako Yamamoto, Yukihiko Hiroshima, Yasunori Matsumoto, Hiroaki Kimura, Katsuhiro Hayashi, Norio Yamamoto, Michael Bouvet, Hiroyuki Tsuchiya, Robert Hoffman, and Ming Zhao.
- Oncotarget, 5(24): 12849-12861, 2014

_{Last updated June 13, 2022}