4 papers
Exact Finite-Sample Variance Decomposition of Subagging: A Spectral Filtering Perspective
Ye Su, Mingrui Ye, Yining Wang +2
Standard resampling ratios (e.g., ) are widely used as default baselines in ensemble learning for three decades. However, how these ratios interact with a base lear…
Effective Frontiers: A Unification of Neural Scaling Laws
Jiaxuan Zou, Zixuan Gong, Ye Su +2
Neural scaling laws govern the prediction power-law improvement of test loss with respect to model capacity (), datasize (), and compute (). However, existing theoretical…
Variational Inference, Entropy, and Orthogonality: A Unified Theory of Mixture-of-Experts
Ye Su, Yong Liu
Mixture-of-Experts models enable large language models to scale efficiently, as they only activate a subset of experts for each input. Their core mechanisms, Top-k routing and auxi…
Cell-cell Communication Inference and Analysis: Biological Mechanisms, Computational Approaches, and Future Opportunities
Xiangzheng Cheng, Haili Huang, Ye Su +3
In multicellular organisms, cells coordinate their activities through cell-cell communication (CCC), which is crucial for development, tissue homeostasis, and disease progression.…