ICML 2024 "minimax optimality" Papers
5 papers found
Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions
Kaihong Zhang, Heqi Yin, Feng Liang et al.
ICML 2024spotlightarXiv:2402.15602
Optimal Kernel Quantile Learning with Random Features
Caixing Wang, Xingdong Feng
ICML 2024spotlightarXiv:2408.13591
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective
Yang Chen, Cong Fang, Zhouchen Lin et al.
ICML 2024posterarXiv:2406.11249
Smoothness Adaptive Hypothesis Transfer Learning
Haotian Lin, Matthew Reimherr
ICML 2024posterarXiv:2402.14966
Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features
Chao Wang, Xin Bing, Xin HE et al.
ICML 2024spotlight