Poster "linear regression" Papers
9 papers found
A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics
Licong Lin, Song Mei
NeurIPS 2025posterarXiv:2503.17538
3
citations
Robustness Auditing for Linear Regression: To Singularity and Beyond
Ittai Rubinstein, Samuel Hopkins
ICLR 2025posterarXiv:2410.07916
7
citations
Task Descriptors Help Transformers Learn Linear Models In-Context
Ruomin Huang, Rong Ge
ICLR 2025poster
3
citations
Transformers Handle Endogeneity in In-Context Linear Regression
Haodong Liang, Krishna Balasubramanian, Lifeng Lai
ICLR 2025posterarXiv:2410.01265
4
citations
Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought
Jianhao Huang, Zixuan Wang, Jason Lee
ICLR 2025posterarXiv:2502.21212
18
citations
An Analysis of Linear Time Series Forecasting Models
William Toner, Luke Darlow
ICML 2024poster
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?
Khashayar Gatmiry, Nikunj Saunshi, Sashank J. Reddi et al.
ICML 2024poster
Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond
Kyriakos Axiotis, Vincent Cohen-Addad, Monika Henzinger et al.
ICML 2024poster
Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation
Gavin Brown, Krishnamurthy Dvijotham, Georgina Evans et al.
ICML 2024poster