Autoregressive Cascades on Random Networks. - Srikanth K. Iyer; Rahul Vaze; Dheeraj Narasimha (CoRR, 2014)

A Mean Field Game Analysis of Distributed MAC in Ultra-Dense Multichannel Wireless Networks. - Dheeraj Narasimha; Srinivas Shakkottai; Lei Ying 001 (IEEE/ACM Trans. Netw., 2020)

Multi-Agent Learning via Markov Potential Games in Marketplaces for Distributed Energy Resources. - Dheeraj Narasimha; Ki-Yeob Lee; Dileep Kalathil; Srinivas Shakkottai (CDC, 2022)

Age-Dependent Distributed MAC for Ultra-Dense Wireless Networks. - Dheeraj Narasimha; Srinivas Shakkottai; Lei Ying 001 (IEEE/ACM Trans. Netw., 2023)

A Multi-Agent View of Wireless Video Streaming with Delayed Client-Feedback. - Nouman Khan; Ujwal Dinesha; Subrahmanyam Arunachalam; Dheeraj Narasimha; Vijay G. Subramanian; Srinivas Shakkottai (INFOCOM, 2024)

CONGO: Compressive Online Gradient Optimization with Application to Microservices Management. - Jeremy Carleton; Prathik Vijaykumar; Divyanshu Saxena; Dheeraj Narasimha; Srinivas Shakkottai; Aditya Akella (CoRR, 2024)

Model Predictive Control is Almost Optimal for Restless Bandit. - Nicolas Gast; Dheeraj Narasimha (CoRR, 2024)

Model predictive control is almost optimal for restless bandits. - Nicolas Gast; Dheeraj Narasimha (COLT, 2025)

CONGO: Compressive Online Gradient Optimization. - Jeremy Carleton; Prathik Vijaykumar; Divyanshu Saxena; Dheeraj Narasimha; Srinivas Shakkottai; Aditya Akella (ICLR, 2025)

The Power of Two in Large Service-Marketplaces. - Dheeraj Narasimha; Srinivas Nomula; Srinivas Shakkottai; Parimal Parag (INFOCOM, 2025)

PITA: Preference-Guided Inference-Time Alignment for LLM Post-Training. - Sarat Chandra Bobbili; Ujwal Dinesha; Dheeraj Narasimha; Srinivas Shakkottai (CoRR, 2025)