Srinivas Shakkottai

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 74

Top Venues

CoRR

IEEE/ACM Trans. Netw.

INFOCOM

MobiHoc

Publications

Qing An, Divyanshu Pandey, Rahman Doost-Mohammady, Ashutosh Sabharwal, Srinivas Shakkottai
Multi-Provider Resource Scheduling in Massive MIMO Radio Access Networks. CoRR (2024)
Jeremy Carleton, Prathik Vijaykumar, Divyanshu Saxena, Dheeraj Narasimha, Srinivas Shakkottai, Aditya Akella
CONGO: Compressive Online Gradient Optimization with Application to Microservices Management. CoRR (2024)
Archana Bura, Ushasi Ghosh, Dinesh Bharadia, Srinivas Shakkottai
Windex: Realtime Neural Whittle Indexing for Scalable Service Guarantees in NextG Cellular Networks. CoRR (2024)
Woo-Hyun Ko, Ushasi Ghosh, Ujwal Dinesha, Raini Wu, Srinivas Shakkottai, Dinesh Bharadia
EdgeRIC: Empowering Real-time Intelligent Optimization and Control in NextG Cellular Networks. NSDI (2024)
Nouman Khan, Ujwal Dinesha, Subrahmanyam Arunachalam, Dheeraj Narasimha, Vijay G. Subramanian, Srinivas Shakkottai
A Multi-Agent View of Wireless Video Streaming with Delayed Client-Feedback. INFOCOM (2024)
Archana Bura, Sarat Chandra Bobbili, Shreyas Rameshkumar, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai
Structured Reinforcement Learning for Media Streaming at the Wireless Edge. CoRR (2024)
Ushasi Ghosh, Ish Kumar Jain, Dinesh Bharadia, Srinivas Shakkottai
Poster: Tiny-twin: A Lightweight and Verifiable Digital Twin for NextG Cellular Networks. HotMobile (2024)
Vicram Rajagopalan, Vishnu Teja Kunde, Chandra Shekhara Kaushik Valmeekam, Krishna Narayanan, Srinivas Shakkottai, Dileep Kalathil, Jean-François Chamberland
Transformers are Efficient In-Context Estimators for Wireless Communication. CoRR (2023)
Desik Rengarajan, Nitin Ragothaman, Dileep Kalathil, Srinivas Shakkottai
Federated Ensemble-Directed Offline Reinforcement Learning. CoRR (2023)
Woo-Hyun Ko, Ujwal Dinesha, Ushasi Ghosh, Srinivas Shakkottai, Dinesh Bharadia, Raini Wu
EdgeRIC: Empowering Realtime Intelligent Optimization and Control in NextG Networks. CoRR (2023)
Dheeraj Narasimha, Srinivas Shakkottai, Lei Ying
Age-Dependent Distributed MAC for Ultra-Dense Wireless Networks. IEEE/ACM Trans. Netw. 31 (4) (2023)
Chandra Shekhara Kaushik Valmeekam, Krishna Narayanan, Dileep Kalathil, Jean-François Chamberland, Srinivas Shakkottai
LLMZip: Lossless Text Compression using Large Language Models. CoRR (2023)
Woo-Hyun Ko, Ushasi Ghosh, Ujwal Dinesha, Raini Wu, Srinivas Shakkottai, Dinesh Bharadia
Demo: EdgeRIC: Delivering Realtime RAN Intelligence. SIGCOMM (2023)
Rayan El Helou, Ki-Yeob Lee, Dongqi Wu, Le Xie, Srinivas Shakkottai, Vijay G. Subramanian
OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation. IEEE Trans. Smart Grid 14 (2) (2023)
Archana Bura, Aria HasanzadeZonuzy, Dileep Kalathil, Srinivas Shakkottai, Jean-François Chamberland
DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning. NeurIPS (2022)
Rayan El Helou, Ki-Yeob Lee, Dongqi Wu, Le Xie, Srinivas Shakkottai, Vijay G. Subramanian
OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation. CoRR (2022)
Archana Bura, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai, Jean-François Chamberland
Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms. IEEE/ACM Trans. Netw. 30 (1) (2022)
Dheeraj Narasimha, Ki-Yeob Lee, Dileep Kalathil, Srinivas Shakkottai
Multi-Agent Learning via Markov Potential Games in Marketplaces for Distributed Energy Resources. CDC (2022)
Le Xie, Tong Huang, Xiangtian Zheng, Yan Liu, Mengdi Wang, Vijay Vittal, P. R. Kumar, Srinivas Shakkottai, Yi Cui
Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality. CoRR (2022)
Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh, Dileep M. Kalathil, Srinivas Shakkottai
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration. CoRR (2022)
Le Xie, Tong Huang, Xiangtian Zheng, Yan Liu, Mengdi Wang, Vijay Vittal, P. R. Kumar, Srinivas Shakkottai, Yi Cui
Energy system digitization in the era of AI: A three-layered approach toward carbon neutrality. Patterns 3 (12) (2022)
Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh, Dileep M. Kalathil, Srinivas Shakkottai
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration. ICLR (2022)
Harish Kumar Dureppagari, Ujwal Dinesha, Raini Wu, Santosh Ganji, Woo-Hyun Ko, Srinivas Shakkottai, Dinesh Bharadia
Realtime intelligent control for NextG cellular radio access networks. MobiSys (2022)
Desik Rengarajan, Sapana Chaudhary, Jaewon Kim, Dileep Kalathil, Srinivas Shakkottai
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments. CoRR (2022)
Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan, Mason Rumuly, Bainan Xia, Srinivas Shakkottai, Dileep Kalathil, Ricky K. P. Mok, Amogh Dhamdhere
QFlow: A Learning Approach to High QoE Video Streaming at the Wireless Edge. IEEE/ACM Trans. Netw. 30 (1) (2022)
Desik Rengarajan, Sapana Chaudhary, Jaewon Kim, Dileep Kalathil, Srinivas Shakkottai
Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments. NeurIPS (2022)
Ki-Yeob Lee, Desik Rengarajan, Dileep M. Kalathil, Srinivas Shakkottai
Reinforcement Learning for Mean Field Games with Strategic Complementarities. AISTATS (2021)
Aria HasanzadeZonuzy, Dileep M. Kalathil, Srinivas Shakkottai
Model-Based Reinforcement Learning for Infinite-Horizon Discounted Constrained Markov Decision Processes. IJCAI (2021)
Khaled Nakhleh, Santosh Ganji, Ping-Chun Hsieh, I-Hong Hou, Srinivas Shakkottai
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL. NeurIPS (2021)
Dheeraj Narasimha, Srinivas Shakkottai, Lei Ying
Age-Dependent Distributed MAC for Ultra-Dense Wireless Networks. INFOCOM (2021)
Archana Bura, Aria HasanzadeZonuzy, Dileep M. Kalathil, Srinivas Shakkottai, Jean-François Chamberland
Safe Exploration for Constrained Reinforcement Learning with Provable Guarantees. CoRR (2021)
Vamseedhar R. Reddyvari, Sarat Chandra Bobbili, Parimal Parag, Srinivas Shakkottai
Mode-Suppression: A Simple, Stable and Scalable Chunk-Sharing Algorithm for P2P Networks. IEEE/ACM Trans. Netw. 29 (6) (2021)
Aria HasanzadeZonuzy, Archana Bura, Dileep M. Kalathil, Srinivas Shakkottai
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs. AAAI (2021)
Khaled Nakhleh, Santosh Ganji, Ping-Chun Hsieh, I-Hong Hou, Srinivas Shakkottai
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL. CoRR (2021)
Ki-Yeob Lee, Desik Rengarajan, Dileep M. Kalathil, Srinivas Shakkottai
Learning Trembling Hand Perfect Mean Field Equilibrium for Dynamic Mean Field Games. CoRR (2020)
Mayank Manjrekar, Vinod Ramaswamy, Vamseedhar Reddyvari Raja, Srinivas Shakkottai
A Mean Field Game Approach to Scheduling in Cellular Systems. IEEE Trans. Control. Netw. Syst. 7 (2) (2020)
Archana Bura, Desik Rengarajan, Dileep M. Kalathil, Srinivas Shakkottai, Jean-François Chamberland-Tremblay
Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms. CoRR (2020)
Dheeraj Narasimha, Srinivas Shakkottai, Lei Ying
A Mean Field Game Analysis of Distributed MAC in Ultra-Dense Multichannel Wireless Networks. IEEE/ACM Trans. Netw. 28 (5) (2020)
Aria HasanzadeZonuzy, Dileep M. Kalathil, Srinivas Shakkottai
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs. CoRR (2020)
Aria HasanzadeZonuzy, Dileep M. Kalathil, Srinivas Shakkottai
Reinforcement Learning for Multi-Hop Scheduling and Routing of Real-Time Flows. WiOpt (2020)
Dheeraj Narasimha, Srinivas Shakkottai, Lei Ying
A Mean Field Game Analysis of Distributed MAC in Ultra-Dense Multichannel Wireless Networks. MobiHoc (2019)
Archana Sasikumar, Tao Zhao, I-Hong Hou, Srinivas Shakkottai
Cache-Version Selection and Content Placement for Adaptive Video Streaming in Wireless Edge Networks. CoRR (2019)
Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan, Mason Rumuly, Srinivas Shakkottai, Dileep M. Kalathil, Ricky K. P. Mok, Amogh Dhamdhere
QFlow: A Reinforcement Learning Approach to High QoE Video Streaming over Wireless Networks. MobiHoc (2019)
Bainan Xia, Ki-Yeob Lee, Srinivas Shakkottai, Dileep M. Kalathil
A Market for Retail Electric Provider Based Demand Response. CDC (2019)
Vamseedhar Reddyvari Raja, Parimal Parag, Srinivas Shakkottai
Mode-Suppression: A Simple, Stable and Scalable Chunk-Sharing Algorithm for P2P Networks. CoRR (2019)
Bainan Xia, Srinivas Shakkottai, Vijay G. Subramanian
Small-Scale Markets for a Bilateral Energy Sharing Economy. IEEE Trans. Control. Netw. Syst. 6 (3) (2019)
Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan, Mason Rumuly, Srinivas Shakkottai, Dileep M. Kalathil, Ricky K. P. Mok, Amogh Dhamdhere
QFlow: A Reinforcement Learning Approach to High QoE Video Streaming over Wireless Networks. CoRR (2019)
Archana Sasikumar, Tao Zhao, I-Hong Hou, Srinivas Shakkottai
Cache-Version Selection and Content Placement for Adaptive Video Streaming in Wireless Edge Networks. WiOpt (2019)
Aria HasanzadeZonuzy, I-Hong Hou, Srinivas Shakkottai
Broadcasting Real-Time Flows in Integrated Backhaul and Access 5G Networks. WiOpt (2019)
Aria HasanzadeZonuzy, I-Hong Hou, Srinivas Shakkottai
Broadcasting Real-Time Flows in Integrated Backhaul and Access 5G Networks. CoRR (2019)
Anoosheh Heidarzadeh, Ishan Tyagi, Srinivas Shakkottai, Alex Sprintson
A Monetary Mechanism for Stabilizing Cooperative Data Exchange with Selfish Users. CoRR (2018)
Anoosheh Heidarzadeh, Ishan Tyagi, Srinivas Shakkottai, Alex Sprintson
A Monetary Mechanism for Stabilizing Cooperative Data Exchange with Selfish Users. ISIT (2018)
Simon Yau, Ping-Chun Hsieh, Rajarshi Bhattacharyya, K. R. Kartic Bhargav, Srinivas Shakkottai, I-Hong Hou, P. R. Kumar
PULS: Processor-Supported Ultra-Low Latency Scheduling. MobiHoc (2018)
Aria HasanzadeZonuzy, Sina Arefizadeh, Alireza Talebpour, Srinivas Shakkottai, Swaroop Darbha
Collaborative Platooning of Automated Vehicles Using Variable Time-Gaps. ACC (2018)
Bainan Xia, Srinivas Shakkottai, Vijay G. Subramanian
Small-Scale Markets for Bilateral Resource Trading in the Sharing Economy. INFOCOM (2018)
Jian Li, Bainan Xia, Xinbo Geng, Hao Ming, Srinivas Shakkottai, Vijay G. Subramanian, Le Xie
Mean Field Games in Nudge Systems for Societal Networks. ACM Trans. Model. Perform. Evaluation Comput. Syst. 3 (4) (2018)
Rajarshi Bhattacharyya, Ki-Yeob Lee, Bainan Xia, Vamseedhar R. Reddyvari, Abhay Anand, Vasudev Gohil, Srinivas Shakkottai, Amogh Dhamdhere, Jean-François Chamberland-Tremblay, Gregory H. Huff
FlowBazaar: A Market-Mediated Software Defined Communications Ecosystem at the Wireless Edge. CoRR (2018)
Jian Li, Srinivas Shakkottai, John C. S. Lui, Vijay G. Subramanian
Accurate Learning or Fast Mixing? Dynamic Adaptability of Caching Algorithms. IEEE J. Sel. Areas Commun. 36 (6) (2018)
Vamseedhar R. Reddyvari, Parimal Parag, Srinivas Shakkottai
Mode-Suppression: A Simple and Provably Stable Chunk-Sharing Algorithm for P2P Networks. INFOCOM (2018)
Sina Arefizadeh, Aria HasanzadeZonuzy, Alireza Talebpour, Srinivas Shakkottai
Assessing Strong String Stability of Constant Spacing Policy under Speed Limit Fluctuations. CoRR (2018)
Simon Yau, Ping-Chun Hsieh, Rajarshi Bhattacharyya, K. R. Kartic Bhargav, Srinivas Shakkottai, I-Hong Hou, P. R. Kumar
PULS: Processor-Supported Ultra-Low Latency Scheduling. MobiHoc (2018)
Jian Li, Rajarshi Bhattacharyya, Suman Paul, Srinivas Shakkottai, Vijay G. Subramanian
Incentivizing Sharing in Realtime D2D Streaming Networks: A Mean Field Game Perspective. IEEE/ACM Trans. Netw. 25 (1) (2017)
Jian Li, Srinivas Shakkottai, John C. S. Lui, Vijay G. Subramanian
Accurate Learning or Fast Mixing? Dynamic Adaptability of Caching Algorithms. CoRR (2017)
Aria HasanzadeZonuzy, Sina Arefizadeh, Alireza Talebpour, Srinivas Shakkottai, Swaroop Darbha
Collaborative Platooning of Automated Vehicles Using Variable Time-Gaps. CoRR (2017)
Bainan Xia, Hao Ming, Ki-Yeob Lee, Yuanyuan Li, Yuqi Zhou, Shantanu Bansal, Srinivas Shakkottai, Le Xie
EnergyCoupon: A Case Study on Incentive-based Demand Response in Smart Grid. e-Energy (2017)
Bainan Xia, Srinivas Shakkottai, Vijay G. Subramanian
Small-Scale Markets for Bilateral Resource Trading in the Sharing Economy. CoRR (2017)
Jian Li, Rajarshi Bhattacharyya, Suman Paul, Srinivas Shakkottai, Vijay G. Subramanian
Incentivizing Sharing in Realtime D2D Streaming Networks: A Mean Field Game Perspective. CoRR (2016)
Vamseedhar Reddyvari Raja, Vinod Ramaswamy, Srinivas Shakkottai, Vijay G. Subramanian
Mean Field Equilibria of Pricing Games in Internet Marketplaces. SIGMETRICS (2016)
Jae-Yeon Won, Paul V. Gratz, Srinivas Shakkottai, Jiang Hu
Resource Sharing Centric Dynamic Voltage and Frequency Scaling for CMP Cores, Uncore, and Memory. ACM Trans. Design Autom. Electr. Syst. 21 (4) (2016)
Jian Li, Bainan Xia, Xinbo Geng, Hao Ming, Srinivas Shakkottai, Vijay G. Subramanian, Le Xie
Energy Coupon: A Mean Field Game Perspective on Demand Response in Smart Grids. SIGMETRICS (2015)
Jian Li, Rajarshi Bhattacharyya, Suman Paul, Srinivas Shakkottai, Vijay G. Subramanian
Incentivizing sharing in realtime D2D streaming networks: A mean field game perspective. INFOCOM (2015)
Jian Li, Bainan Xia, Xinbo Geng, Hao Ming, Srinivas Shakkottai, Vijay G. Subramanian, Le Xie
Energy Coupon: A Mean Field Game Perspective on Demand Response in Smart Grids. CoRR (2015)
Yu-Pin Hsu, Navid Abedini, Natarajan Gautam, Alex Sprintson, Srinivas Shakkottai
Opportunities for Network Coding: To Wait or Not to Wait. IEEE/ACM Trans. Netw. 23 (6) (2015)
Jae-Yeon Won, Paul Gratz, Srinivas Shakkottai, Jiang Hu
Having your cake and eating it too: Energy savings without performance loss through resource sharing driven power management. ISLPED (2015)
Vamseedhar Reddyvari Raja, Srinivas Shakkottai, Amogh Dhamdhere, kc claffy
Fair, Flexible and Feasible ISP Billing. SIGMETRICS Perform. Evaluation Rev. 42 (3) (2014)
Shalimar Rasheed, Paul V. Gratz, Srinivas Shakkottai, Jiang Hu
STORM: A Simple Traffic-Optimized Router Microarchitecture for Networks-on-Chip. NOCS (2014)
Vamseedhar Reddyvari Raja, Amogh Dhamdhere, Alessandra Scicchitano, Srinivas Shakkottai, kc claffy, Simon Leinen
Volume-Based Transit Pricing: Is 95 the Right Percentile? PAM (2014)
Navid Abedini, Srinivas Shakkottai
Content Caching and Scheduling in Wireless Networks With Elastic and Inelastic Traffic. IEEE/ACM Trans. Netw. 22 (3) (2014)
Vinod Ramaswamy, Vinith Reddy, Srinivas Shakkottai, Alexander Sprintson, Natarajan Gautam
Multipath Wireless Network Coding: An Augmented Potential Game Perspective. IEEE/ACM Trans. Netw. 22 (1) (2014)
Arupa Mohapatra, Natarajan Gautam, Srinivas Shakkottai, Alex Sprintson
Network Coding Decisions for Wireless Transmissions With Delay Consideration. IEEE Trans. Commun. 62 (8) (2014)
Mayank Manjrekar, Vinod Ramaswamy, Srinivas Shakkottai
A mean field game approach to scheduling in cellular systems. INFOCOM (2014)
Vinod Ramaswamy, Diganto Choudhury, Srinivas Shakkottai
Which Protocol? Mutual Interaction of Heterogeneous Congestion Controllers. IEEE/ACM Trans. Netw. 22 (2) (2014)
Navid Abedini, Swetha Sampath, Rajarshi Bhattacharyya, Suman Paul, Srinivas Shakkottai
Realtime streaming with guaranteed QoS over wireless D2D networks. MobiHoc (2013)
Mayank Manjrekar, Vinod Ramaswamy, Srinivas Shakkottai
A Mean Field Game Approach to Scheduling in Cellular Systems. CoRR (2013)
Vinod Ramaswamy, Sachin Adlakha, Srinivas Shakkottai, Adam Wierman
Incentives for P2P-Assisted Content Distribution: If You Can't Beat 'Em, Join 'Em CoRR (2012)
Navid Abedini, Mayank Manjrekar, Srinivas Shakkottai, Libin Jiang
Harnessing multiple wireless interfaces for guaranteed QoS in proximate P2P networks. ICCC (2012)
Vinod Ramaswamy, Sachin Adlakha, Srinivas Shakkottai, Adam Wierman
Incentives for P2P-assisted content distribution: If you can't beat 'em, join 'em. Allerton Conference (2012)
Vinod Ramaswamy, Diganto Choudhury, Srinivas Shakkottai
Which protocol? Mutual interaction of heterogeneous congestion controllers. INFOCOM (2011)
Srinivas Shakkottai, R. Srikant, Lei Ying
The Asymptotic Behavior of Minimum Buffer Size Requirements in Large P2P Streaming Networks. IEEE J. Sel. Areas Commun. 29 (5) (2011)
Meghana M. Amble, Parimal Parag, Srinivas Shakkottai, Lei Ying
Content-aware caching and traffic management in content distribution networks. INFOCOM (2011)
Yu-Pin Hsu, Navid Abedini, Solairaja Ramasamy, Natarajan Gautam, Alexander Sprintson, Srinivas Shakkottai
Opportunities for Network Coding: To Wait or Not to Wait CoRR (2011)
Ali ParandehGheibi, Muriel Médard, Asuman E. Ozdaglar, Srinivas Shakkottai
Avoiding Interruptions - A QoE Reliability Function for Streaming Media Applications. IEEE J. Sel. Areas Commun. 29 (5) (2011)
Yu-Pin Hsu, Navid Abedini, Solairaja Ramasamy, Natarajan Gautam, Alex Sprintson, Srinivas Shakkottai
Opportunities for network coding: To wait or not to wait. ISIT (2011)
Navid Abedini, Srinivas Shakkottai
Content caching and scheduling in wireless broadcast networks with elastic and inelastic traffic. WiOpt (2011)
Parimal Parag, Sankalp Sah, Srinivas Shakkottai, Jean-François Chamberland
Value-Aware Resource Allocation for Service Guarantees in Networks. IEEE J. Sel. Areas Commun. 29 (5) (2011)
Parimal Parag, Srinivas Shakkottai, Ishai Menache
Service Routing in Multi-ISP Peer-to-Peer Content Distribution: Local or Remote? GAMENETS (2011)
Jean-François Chamberland, Henry D. Pfister, Srinivas Shakkottai
First-passage time analysis for digital communication over erasure channels with delay-sensitive traffic. Allerton (2010)
Ali ParandehGheibi, Muriel Médard, Srinivas Shakkottai, Asuman E. Ozdaglar
Avoiding Interruptions - QoE Trade-offs in Block-coded Streaming Media Applications CoRR (2010)
Ali ParandehGheibi, Muriel Médard, Asuman E. Ozdaglar, Srinivas Shakkottai
Access-network association policies for media streaming in heterogeneous environments. CDC (2010)
Srinivas Shakkottai, Ramesh Johari
Demand-aware content distribution on the internet. IEEE/ACM Trans. Netw. 18 (2) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Srinivas Shakkottai