ICML "linear regression" Papers
6 papers found
Agnostic Sample Compression Schemes for Regression
Idan Attias, Steve Hanneke, Aryeh Kontorovich et al.
ICML 2024spotlightarXiv:1810.01864
An Analysis of Linear Time Series Forecasting Models
William Toner, Luke Darlow
ICML 2024posterarXiv:2403.14587
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?
Khashayar Gatmiry, Nikunj Saunshi, Sashank J. Reddi et al.
ICML 2024posterarXiv:2410.08292
Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond
Kyriakos Axiotis, Vincent Cohen-Addad, Monika Henzinger et al.
ICML 2024posterarXiv:2402.17327
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
Adel Javanmard, Matthew Fahrbach, Vahab Mirrokni
ICML 2024spotlightarXiv:2402.04987
Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation
Gavin Brown, Krishnamurthy Dvijotham, Georgina Evans et al.
ICML 2024posterarXiv:2402.13531