Newton Losses: Using Curvature Information for Learning with Differentiable Algorithmsby Felix Petersen, Christian Borgelt, Tobias…
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Modelsby Jiachang Liu, Rui Zhang, Cynthia…
Research on Key Technologies for Cross-Cloud Federated Training of Large Language Modelsby Haowei Yang, Mingxiu…
Adjusted Overfitting Regressionby Dylan WilsonFirst submitted to arxiv on: 24 Oct 2024CategoriesMain: Machine Learning (cs.LG)Secondary:…
On the Crucial Role of Initialization for Matrix Factorizationby Bingcong Li, Liang Zhang, Aryan Mokhtari,…
VehicleSDF: A 3D generative model for constrained engineering design via surrogate modelingby Hayata Morita, Kohei…
Fast constrained sampling in pre-trained diffusion modelsby Alexandros Graikos, Nebojsa Jojic, Dimitris SamarasFirst submitted to…
Meta-Learning with Heterogeneous Tasksby Zhaofeng Si, Shu Hu, Kaiyi Ji, Siwei LyuFirst submitted to arxiv…
Faster Algorithms for User-Level Private Stochastic Convex Optimizationby Andrew Lowy, Daogao Liu, Hilal AsiFirst submitted…
The Nature of Mathematical Modeling and Probabilistic Optimization Engineering in Generative AIby Fulu LiFirst submitted…