| 2026 | AAAI | ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions. | Fares Fourati, Mohamed-Slim Alouini, Vaneet Aggarwal |
| 2025 | AISTATS | Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants. | Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini |
| 2025 | EMNLP | ACING: Actor-Critic for Instruction Learning in Black-Box LLMs. | Salma Kharrat, Fares Fourati, Marco Canini |
| 2024 | AAAI | Combinatorial Stochastic-Greedy Bandit. | Fares Fourati, Christopher John Quinn, Mohamed-Slim Alouini, Vaneet Aggarwal |
| 2024 | ECAI | FilFL: Client Filtering for Optimized Client Participation in Federated Learning. | Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini, Marco Canini |
| 2024 | ICML | Federated Combinatorial Multi-Agent Multi-Armed Bandits. | Fares Fourati, Mohamed-Slim Alouini, Vaneet Aggarwal |
| 2024 | ICML | Stochastic Q-learning for Large Discrete Action Spaces. | Fares Fourati, Vaneet Aggarwal, Mohamed-Slim Alouini |
| 2023 | AISTATS | Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback. | Fares Fourati, Vaneet Aggarwal, Christopher J. Quinn, Mohamed-Slim Alouini |