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2020 – today
- 2024
[c3]Licong Lin, Yu Bai, Song Mei:
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining. ICLR 2024- [c2]Licong Lin, Tijana Zrnic:
Plug-in Performative Optimization. ICML 2024 - [i11]Ruiqi Zhang, Licong Lin, Yu Bai, Song Mei:
Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning. CoRR abs/2404.05868 (2024) - [i10]Licong Lin, Jingfeng Wu, Sham M. Kakade, Peter L. Bartlett, Jason D. Lee:
Scaling Laws in Linear Regression: Compute, Parameters, and Data. CoRR abs/2406.08466 (2024) - [i9]Chongyu Fan, Jiancheng Liu, Licong Lin, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu:
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning. CoRR abs/2410.07163 (2024) - 2023
- [c1]Licong Lin, Mufang Ying, Suvrojit Ghosh, Koulik Khamaru, Cun-Hui Zhang:
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference. NeurIPS 2023 - [i8]Licong Lin, Koulik Khamaru, Martin J. Wainwright:
Semi-parametric inference based on adaptively collected data. CoRR abs/2303.02534 (2023) - [i7]Licong Lin, Tijana Zrnic:
Plug-in Performative Optimization. CoRR abs/2305.18728 (2023) - [i6]Licong Lin, Mufang Ying, Suvrojit Ghosh, Koulik Khamaru, Cun-Hui Zhang:
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference. CoRR abs/2310.00532 (2023) - [i5]Licong Lin, Yu Bai, Song Mei:
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining. CoRR abs/2310.08566 (2023) - [i4]Michael Celentano, Zhou Fan, Licong Lin, Song Mei:
Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models. CoRR abs/2311.08442 (2023) - 2022
- [i3]Taejoo Ahn, Licong Lin, Song Mei:
Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control. CoRR abs/2211.02778 (2022) - 2021
- [j1]Licong Lin, Edgar Dobriban:
What Causes the Test Error? Going Beyond Bias-Variance via ANOVA. J. Mach. Learn. Res. 22: 155:1-155:82 (2021) - 2020
- [i2]Licong Lin, Edgar Dobriban:
What causes the test error? Going beyond bias-variance via ANOVA. CoRR abs/2010.05170 (2020)
2010 – 2019
- 2019
- [i1]Yuzheng Hu, Licong Lin, Shange Tang:
Second-order Information in First-order Optimization Methods. CoRR abs/1912.09926 (2019)
Coauthor Index
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