ICML 2024 "convergence guarantee" Papers
4 papers found
Probabilistic Constrained Reinforcement Learning with Formal Interpretability
YANRAN WANG, QIUCHEN QIAN, David Boyle
ICML 2024poster
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
Xiaobo Xia, Jiale Liu, Shaokun Zhang et al.
ICML 2024spotlight
Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models
Junlong Lyu, Zhitang Chen, Shoubo Feng
ICML 2024poster
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation
Haibo Yang, Peiwen Qiu, Prashant Khanduri et al.
ICML 2024poster