3 papers
cs.LG2025
Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
Fares Fourati, Salma Kharrat, Vaneet Aggarwal +1
Optimizing expensive, non-convex, black-box Lipschitz continuous functions presents significant challenges, particularly when the Lipschitz constant of the underlying function is u…
cs.CL2024
ACING: Actor-Critic for Instruction Learning in Black-Box LLMs
Salma Kharrat, Fares Fourati, Marco Canini
The effectiveness of Large Language Models (LLMs) in solving tasks depends significantly on the quality of their instructions, which often require substantial human effort to craft…
cs.LG2024
Decentralized Personalized Federated Learning
Salma Kharrat, Marco Canini, Samuel Horvath
This work tackles the challenges of data heterogeneity and communication limitations in decentralized federated learning. We focus on creating a collaboration graph that guides eac…