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Licong Lin
Licong Lin
PhD student at UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning
R Zhang, L Lin, Y Bai, S Mei
The First Conference on Language Modeling (COLM) 2024, 2024
582024
What causes the test error? going beyond bias-variance via anova
L Lin, E Dobriban
Journal of Machine Learning Research 22 (155), 1-82, 2021
522021
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining
L Lin, Y Bai, S Mei
International Conference on Learning Representations (ICLR) 2024, 2023
422023
Plug-in Performative Optimization
L Lin, T Zrnic
International Conference on Machine Learning (ICML) 2024, 2023
122023
Scaling Laws in Linear Regression: Compute, Parameters, and Data
L Lin, J Wu, SM Kakade, PL Bartlett, JD Lee
arXiv preprint arXiv:2406.08466, 2024
72024
Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models
M Celentano, Z Fan, L Lin, S Mei
arXiv preprint arXiv:2311.08442, 2023
62023
Semi-parametric inference based on adaptively collected data
L Lin, K Khamaru, MJ Wainwright
arXiv preprint arXiv:2303.02534, 2023
52023
Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control
T Ahn, L Lin, S Mei
arXiv preprint arXiv:2211.02778, 2022
42022
Statistical limits of adaptive linear models: low-dimensional estimation and inference
L Lin, M Ying, S Ghosh, K Khamaru, CH Zhang
Advances in Neural Information Processing Systems 36, 15965-15990, 2023
12023
When is it worthwhile to jackknife? Breaking the quadratic barrier for Z-estimators
L Lin, F Su, W Mou, P Ding, M Wainwright
arXiv preprint arXiv:2411.02909, 2024
2024
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
C Fan, J Liu, L Lin, J Jia, R Zhang, S Mei, S Liu
arXiv preprint arXiv:2410.07163, 2024
2024
Choose Your Anchor Wisely: Effective Unlearning Diffusion Models via Concept Reconditioning
J Zhu, R Zhang, L Lin, S Mei
Neurips Safe Generative AI Workshop 2024, 0
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Articles 1–12