"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
Agnostic Sample Compression Schemes for Regression
Idan Attias, Steve Hanneke, Aryeh Kontorovich et al.
ICML 2024spotlight
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
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
Adel Javanmard, Matthew Fahrbach, Vahab Mirrokni
ICML 2024spotlight
Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation
Gavin Brown, Krishnamurthy Dvijotham, Georgina Evans et al.
ICML 2024poster