Licong Lin

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Optimization Method

Bias Variance Decomposition

Decision Makers

Top Venues

J. Mach. Learn. Res.

Publications

Licong Lin, Yu Bai, Song Mei
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining. ICLR (2024)
Ruiqi Zhang, Licong Lin, Yu Bai, Song Mei
Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning. CoRR (2024)
Licong Lin, Jingfeng Wu, Sham M. Kakade, Peter L. Bartlett, Jason D. Lee
Scaling Laws in Linear Regression: Compute, Parameters, and Data. CoRR (2024)
Licong Lin, Koulik Khamaru, Martin J. Wainwright
Semi-parametric inference based on adaptively collected data. CoRR (2023)
Licong Lin, Mufang Ying, Suvrojit Ghosh, Koulik Khamaru, Cun-Hui Zhang
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference. CoRR (2023)
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 (2023)
Licong Lin, Tijana Zrnic
Plug-in Performative Optimization. CoRR (2023)
Licong Lin, Yu Bai, Song Mei
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining. CoRR (2023)
Licong Lin, Mufang Ying, Suvrojit Ghosh, Koulik Khamaru, Cun-Hui Zhang
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference. NeurIPS (2023)
Taejoo Ahn, Licong Lin, Song Mei
Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control. CoRR (2022)
Licong Lin, Edgar Dobriban
What Causes the Test Error? Going Beyond Bias-Variance via ANOVA. J. Mach. Learn. Res. 22 (2021)
Licong Lin, Edgar Dobriban
What causes the test error? Going beyond bias-variance via ANOVA. CoRR (2020)
Yuzheng Hu, Licong Lin, Shange Tang
Second-order Information in First-order Optimization Methods. CoRR (2019)