| 2025 | ICASSP | Improved Bounds For Online Convex Optimization. | Tanvi S. Nayak, B. N. Bharath |
| 2025 | ICASSP | Online Learning With Non-convex Losses: New Condition To Achieve Small Dynamic Regret. | Sumit Sah, B. N. Bharath |
| 2023 | ACSSC | FedAvg for Minimizing Polyak-Łojasiewicz Objectives: The Interpolation Regime. | Shruti M., Prashant Khanduri, B. N. Bharath |
| 2023 | ICASSP | Online Caching with Fetching cost for Arbitrary Demand Pattern: a Drift-Plus-Penalty Approach. | Shashank P, B. N. Bharath |
| 2021 | ICASSP | Federated Algorithm with Bayesian Approach: Omni-Fedge. | Sai Anuroop Kesanapalli, B. N. Bharath |
| 2021 | VTC | Learning Distributed Coded Caching Strategy in a Cellular Network. | Yash Doshi, B. N. Bharath, Navneet Garg, Vimal Bhatia, Tharmalingam Ratnarajah |
| 2021 | VTC | Joint Edge Content Cache Placement and Recommendation: Bayesian Approach. | Krishnendu S. Tharakan, B. N. Bharath, Vimal Bhatia |
| 2021 | WiOpt | Minimization of Age of Incorrect Estimates of Autoregressive Markov Processes. | Bhavya Joshi, Rajshekhar Vishweshwar Bhat, B. N. Bharath, Rahul Vaze |
| 2017 | GLOBECOM | Learning-Based Content Caching with Time-Varying Popularity Profiles. | B. N. Bharath, Kyatsandra G. Nagananda, Deniz Gndz, H. Vincent Poor |