通过任务导向的随机化方法，有效提升黑盒算法的稳定性，为机器学习优化提供新思路。
arXiv:2606.25269v1 Announce Type: cross Abstract: As black-box models become foundational to modern research, ensuring their stability is paramount fo…
利用权重空间对称性简化曲率计算，为优化和泛化理论提供新视角，ICML 2026 前沿成果。
arXiv:2606.00442v1 Announce Type: new Abstract: Many machine learning techniques rely on approximating a loss function's curvature, but this is notori…
进化算法如何优化储备池学习？这篇GECCO'26论文揭秘新型计算范式。
arXiv:2605.30372v1 Announce Type: cross Abstract: Reservoir computing, a type of recurrent neural network, is a promising approach for temporal learni…
提出拆分客户端新思路，突破二阶优化中海森矩阵计算与分解的同步瓶颈，提升收敛效率。
arXiv:2510.15714v3 Announce Type: replace-cross Abstract: Second-order optimization methods offer superior convergence rates but are often bottlenecke…