Learning from Satisfying Assignments Using Risk Minimization. - Manjish Pal; Subham Pokhriyal (CoRR, 2021)

Towards fair machine learning using combinatorial methods. - Anant Saraswat; Manjish Pal; Subham Pokhriyal; Kumar Abhishek 004 (Evol. Intell., 2023)

Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits. - Subham Pokhriyal; Shweta Jain 002; Ganesh Ghalme; Swapnil Dhamal; Sujit Gujar (AAMAS, 2024)

Anytime Fairness Guarantees in Stochastic Combinatorial MABs: A Novel Learning Framework. - Subham Pokhriyal; Shweta Jain 002; Ganesh Ghalme; Vaneet Aggarwal (AAMAS, 2025)

Bi-Criteria Optimization for Combinatorial Bandits: Sublinear Regret and Constraint Violation under Bandit Feedback. - Vaneet Aggarwal; Shweta Jain 002; Subham Pokhriyal; Christopher John Quinn (CoRR, 2025)