Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Back to papers
2025
AISTATS
AISTATS 2025
What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization
❓
The Questioner
Authors
Yufeng Zhang
,
Fengzhuo Zhang
,
Zhuoran Yang
,
Zhaoran Wang
Download PDF
Related papers
Relating Piecewise Linear Kolmogorov Arnold Networks to ReLU Networks
2025
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows
2025
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
2025
Planning and Learning in Risk-Aware Restless Multi-Arm Bandits
2025
HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning and Monte Carlo Tree Search
2025