| 2026 | AAAI | An External Fairness Evaluation of LinkedIn Talent Search. | Tina Behzad, Siddartha Devic, Vatsal Sharan, Aleksandra Korolova, David Kempe |
| 2025 | ALT | Proper Learnability and the Role of Unlabeled Data. | Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng |
| 2024 | COLT | Regularization and Optimal Multiclass Learning. | Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng |
| 2024 | COLT | Open Problem: Can Local Regularization Learn All Multiclass Problems? | Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng |
| 2024 | ICML | Stability and Multigroup Fairness in Ranking with Uncertain Predictions. | Siddartha Devic, Aleksandra Korolova, David Kempe, Vatsal Sharan |
| 2023 | ICML | Fairness in Matching under Uncertainty. | Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova |
| 2022 | AISTATS | Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions. | Zihao Deng, Siddartha Devic, Brendan Juba |
| 2021 | GLOBECOM | Dynamic Bandwidth Allocation for PON Slicing with Performance-Guaranteed Online Convex Optimization. | Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue |
| 2019 | GLOBECOM | DeepPR: Incremental Recovery for Interdependent VNFs with Deep Reinforcement Learning. | Genya Ishigaki, Siddartha Devic, Riti Gour, Jason P. Jue |