Warm Starting Bandits with Side Information from Confounded Data. - Nihal Sharma; Soumya Basu 001; Karthikeyan Shanmugam; Sanjay Shakkottai (CoRR, 2020)

Episodic Bandits with Stochastic Experts. - Nihal Sharma; Soumya Basu 001; Karthikeyan Shanmugam; Sanjay Shakkottai (CoRR, 2021)

Darwin: Flexible Learning-based CDN Caching. - Jiayi Chen; Nihal Sharma; Tarannum Khan; Shu Liu; Brian Chang; Aditya Akella; Sanjay Shakkottai; Ramesh K. Sitaraman (SIGCOMM, 2023)

On a Foundation Model for Operating Systems. - Divyanshu Saxena; Nihal Sharma; Donghyun Kim 002; Rohit Dwivedula; Jiayi Chen; Chenxi Yang; Sriram Ravula; Zichao Hu; Aditya Akella; Sebastian Angel; Joydeep Biswas; Swarat Chaudhuri; et al. (CoRR, 2023)

Bandits with Mean Bounds. - Nihal Sharma; Soumya Basu 001; Karthikeyan Shanmugam; Sanjay Shakkottai (Trans. Mach. Learn. Res., 2024)

Bandits with Stochastic Experts: Constant Regret, Empirical Experts and Episodes. - Nihal Sharma; Rajat Sen; Soumya Basu 001; Karthikeyan Shanmugam; Sanjay Shakkottai (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2024)