Licong Lin

According to our database1, Licong Lin authored at least 16 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Improved Scaling Laws in Linear Regression via Data Reuse.
CoRR, June, 2025

Minimax Optimal Convergence of Gradient Descent in Logistic Regression via Large and Adaptive Stepsizes.
CoRR, April, 2025

A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics.
CoRR, March, 2025

Improving LLM Safety Alignment with Dual-Objective Optimization.
CoRR, March, 2025

A Statistical Theory of Contrastive Pre-training and Multimodal Generative AI.
CoRR, January, 2025

2024
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning.
CoRR, 2024

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning.
CoRR, 2024

Scaling Laws in Linear Regression: Compute, Parameters, and Data.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Plug-in Performative Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining.
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.
CoRR, 2023

Semi-parametric inference based on adaptively collected data.
CoRR, 2023

Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference.
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.
CoRR, 2022

2021
What Causes the Test Error? Going Beyond Bias-Variance via ANOVA.
J. Mach. Learn. Res., 2021

2019
Second-order Information in First-order Optimization Methods.
CoRR, 2019


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