A Muffin-Theorem Generator. - Guangqi Cui; John P. Dickerson; Naveen Durvasula; William Gasarch; Erik Metz; Jacob Prinz; Naveen Raman 001; Daniel Smolyak; Sung Hyun Yoo (FUN, 2018)

Stress and burnout in open source: toward finding, understanding, and mitigating unhealthy interactions. - Naveen Raman 001; Minxuan Cao; Yulia Tsvetkov; Christian Kästner; Bogdan Vasilescu (ICSE (NIER), 2020)

Investigating Methods of Balancing Inequality and Efficiency in Ride Pooling. - Naveen Raman 001 (AAAI, 2021)

Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling. - Naveen Raman 001; Sanket Shah; John P. Dickerson (IJCAI, 2021)

Improving Learning-to-Defer Algorithms Through Fine-Tuning. - Naveen Raman 001; Michael Yee (CoRR, 2021)

Human Uncertainty in Concept-Based AI Systems. - Katherine Maeve Collins; Matthew Barker; Mateo Espinosa Zarlenga; Naveen Raman 001; Umang Bhatt; Mateja Jamnik; Ilia Sucholutsky; Adrian Weller; Krishnamurthy Dvijotham (AIES, 2023)

Understanding Inter-Concept Relationships in Concept-Based Models. - Naveen Raman 001; Mateo Espinosa Zarlenga; Mateja Jamnik (ICML, 2024)

Global Rewards in Restless Multi-Armed Bandits. - Naveen Raman 001; Zheyuan Shi; Fei Fang 001 (NeurIPS, 2024)

Do Concept Bottleneck Models Obey Locality? - Naveen Raman 001; Mateo Espinosa Zarlenga; Juyeon Heo; Mateja Jamnik (CoRR, 2024)

Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects. - Santiago Cortes-Gomez; Naveen Raman 001; Aarti Singh; Bryan Wilder (CoRR, 2024)

Do Concept Bottleneck Models Respect Localities? - Naveen Janaki Raman; Mateo Espinosa Zarlenga; Juyeon Heo; Mateja Jamnik (Trans. Mach. Learn. Res., 2025)

Assortment Optimization for Patient-Provider Matching. - Naveen Raman 001; Holly M. Wiberg (CoRR, 2025)