NeurIPS 2025 "generalization guarantees" Papers
6 papers found
C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
Antonios Valkanas, Soumyasundar Pal, Pavel Rumiantsev et al.
NeurIPS 2025posterarXiv:2511.07396
Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees
Jiawei Sun, Shuai Zhang, Hongkang Li et al.
NeurIPS 2025poster
Data-Driven Performance Guarantees for Classical and Learned Optimizers
Rajiv Sambharya, Bartolomeo Stellato
NeurIPS 2025posterarXiv:2404.13831
10
citations
Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning
Dechen Zhang, Zhenmei Shi, Zhang et al.
NeurIPS 2025posterarXiv:2510.15363
Learning with Statistical Equality Constraints
Aneesh Barthakur, Luiz Chamon
NeurIPS 2025posterarXiv:2511.14320
Transformers Learn Faster with Semantic Focus
Parikshit Ram, Kenneth Clarkson, Tim Klinger et al.
NeurIPS 2025posterarXiv:2506.14095