Learning Prediction Function of Prior Measures for Statistical Inverse Problems of Partial Differential Equations

Advancements in Understanding Over-Parameterized Deep Equilibrium Models: Bridging Theory and Practice

Simulation Learning Methodology: Theory, Algorithms, and Applications 模拟学习方法论：理论，算法和应用

Understanding and Improving LLM Training: Insights into Adam and Advent of Adam-mini

Controlling the False Discovery Rate in Transformations: Split Knockoffs

Balancing Personalization and Pooling: Decision-Making and Statistical Inference with Limited Time Horizons

Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees

Large Covariance Matrix Estimation with Factor-Assisted Variable Clustering

Enhancing Decision Making with Causal Inference and Unmeasured Confounders in a Bayesian Framework