Licong Lin

According to our database, Licong Lin authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning.

Chongyu Fan, Jiancheng Liu, Licong Lin, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu

CoRR, 2024

Scaling Laws in Linear Regression: Compute, Parameters, and Data.

Licong Lin, Jingfeng Wu, Sham M. Kakade, Peter L. Bartlett, Jason D. Lee

CoRR, 2024

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning.

Ruiqi Zhang, Licong Lin, Yu Bai, Song Mei

CoRR, 2024

Plug-in Performative Optimization.

Licong Lin, Tijana Zrnic

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining.

Licong Lin, Yu Bai, Song Mei

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models.

Michael Celentano, Zhou Fan, Licong Lin, Song Mei

CoRR, 2023

Semi-parametric inference based on adaptively collected data.

Licong Lin, Koulik Khamaru, Martin J. Wainwright

CoRR, 2023

Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference.

Licong Lin, Mufang Ying, Suvrojit Ghosh, Koulik Khamaru, Cun-Hui Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control.

Taejoo Ahn, Licong Lin, Song Mei

CoRR, 2022

2021

What Causes the Test Error? Going Beyond Bias-Variance via ANOVA.

Licong Lin, Edgar Dobriban

J. Mach. Learn. Res., 2021

2019

Second-order Information in First-order Optimization Methods.

Yuzheng Hu, Licong Lin, Shange Tang

CoRR, 2019