Risk-Aware Submodular Optimization for Multi-objective Travelling Salesperson Problem. - Rishab Balasubramanian; Lifeng Zhou; Pratap Tokekar; P. B. Sujit (CoRR, 2020)

Risk-Aware Submodular Optimization for Stochastic Travelling Salesperson Problem. - Rishab Balasubramanian; Lifeng Zhou; Pratap Tokekar; P. B. Sujit (IROS, 2021)

Contrastive Learning for OOD in Object detection. - Rishab Balasubramanian; Rupashree Dey; Kunal Rathore (CoRR, 2022)

Contrastive Learning for Object Detection. - Rishab Balasubramanian; Kunal Rathore (CoRR, 2022)

Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective. - Zeyu Zhang; Yi Su; Hui Yuan 002; Yiran Wu; Rishab Balasubramanian; Qingyun Wu; Huazheng Wang; Mengdi Wang (NeurIPS, 2023)

Adversarial Attacks on Combinatorial Multi-Armed Bandits. - Rishab Balasubramanian; Jiawei Li; Prasad Tadepalli; Huazheng Wang; Qingyun Wu; Haoyu Zhao (ICML, 2024)

Adversarial Attacks on Online Learning to Rank with Stochastic Click Models. - Zichen Wang; Rishab Balasubramanian; Hui Yuan 002; Chenyu Song; Mengdi Wang; Huazheng Wang (Trans. Mach. Learn. Res., 2024)

Efficient Model Development through Fine-tuning Transfer. - Pin-Jie Lin; Rishab Balasubramanian; Fengyuan Liu; Nikhil Kandpal; Tu Vu (CoRR, 2025)