Licong Lin - RankMe

22 papers A* 5Journal 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics. CoRR Licong Lin, Song Mei
2025	J	`jnl`	A Statistical Theory of Contrastive Pre-training and Multimodal Generative AI. CoRR Kazusato Oko, Licong Lin, Yuhang Cai, Song Mei
2025	J	`jnl`	Improved Scaling Laws in Linear Regression via Data Reuse. CoRR Licong Lin, Jingfeng Wu, Peter L. Bartlett
2025	A*	`conf`	Improving LLM Safety Alignment with Dual-Objective Optimization. ICML Xuandong Zhao, Will Cai, Tianneng Shi, David Huang, Licong Lin, Song Mei, Dawn Song
2025	J	`jnl`	Improving LLM Safety Alignment with Dual-Objective Optimization. CoRR Xuandong Zhao, Will Cai, Tianneng Shi, David Huang, Licong Lin, Song Mei, Dawn Song
2025	J	`jnl`	Minimax Optimal Convergence of Gradient Descent in Logistic Regression via Large and Adaptive Stepsizes. CoRR Ruiqi Zhang, Jingfeng Wu, Licong Lin, Peter L. Bartlett
2024	J	`jnl`	Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning. CoRR Ruiqi Zhang, Licong Lin, Yu Bai, Song Mei
2024	A*	`conf`	Plug-in Performative Optimization. ICML Licong Lin, Tijana Zrnic
2024	A*	`conf`	Scaling Laws in Linear Regression: Compute, Parameters, and Data. NeurIPS Licong Lin, Jingfeng Wu, Sham M. Kakade, Peter L. Bartlett, Jason D. Lee
2024	J	`jnl`	Scaling Laws in Linear Regression: Compute, Parameters, and Data. CoRR Licong Lin, Jingfeng Wu, Sham M. Kakade, Peter L. Bartlett, Jason D. Lee
2024	J	`jnl`	Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning. CoRR Chongyu Fan, Jiancheng Liu, Licong Lin, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu
2024	A*	`conf`	Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining. ICLR Licong Lin, Yu Bai, Song Mei
2023	J	`jnl`	Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models. CoRR Michael Celentano, Zhou Fan, Licong Lin, Song Mei
2023	J	`jnl`	Plug-in Performative Optimization. CoRR Licong Lin, Tijana Zrnic
2023	J	`jnl`	Semi-parametric inference based on adaptively collected data. CoRR Licong Lin, Koulik Khamaru, Martin J. Wainwright
2023	A*	`conf`	Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference. NeurIPS Licong Lin, Mufang Ying, Suvrojit Ghosh, Koulik Khamaru, Cun-Hui Zhang
2023	J	`jnl`	Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference. CoRR Licong Lin, Mufang Ying, Suvrojit Ghosh, Koulik Khamaru, Cun-Hui Zhang
2023	J	`jnl`	Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining. CoRR Licong Lin, Yu Bai, Song Mei
2022	J	`jnl`	Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control. CoRR Taejoo Ahn, Licong Lin, Song Mei
2021	J	`jnl`	What Causes the Test Error? Going Beyond Bias-Variance via ANOVA. J. Mach. Learn. Res. Licong Lin, Edgar Dobriban
2020	J	`jnl`	What causes the test error? Going beyond bias-variance via ANOVA. CoRR Licong Lin, Edgar Dobriban
2019	J	`jnl`	Second-order Information in First-order Optimization Methods. CoRR Yuzheng Hu, Licong Lin, Shange Tang