Research Interests: Statistical learning, Control, Communication networks - performance modeling and analysis

Publications

Journal Articles
  • Aditya Gopalan, Constantine Caramanis, and Sanjay Shakkottai, Wireless Scheduling with Partial Information: Large Deviations and Optimality. [arXiv]
    Queueing Systems, Volume 80 Issue 4, August 2015, pages 293-340 (DOI: 10.1007/s11134-015-9439-9).

  • Siddhartha Banerjee, Aditya Gopalan, Abhik Kumar Das, and Sanjay Shakkottai, Epidemic Spreading with External Agents. [PDF]
    IEEE Transactions on Information Theory, Volume 60, Issue 7, 2014, pages 4125-4138.

  • Aditya Gopalan, Constantine Caramanis, and Sanjay Shakkottai, On the Value of Coordination and Delayed Queue Information in Multicellular Scheduling. [PDF]
    IEEE Transactions on Automatic Control, Vol. 58(6), June 2013.

  • Akula Aneesh Reddy, Siddhartha Banerjee, Aditya Gopalan, Sanjay Shakkottai, and Lei Ying, On Distributed Scheduling with Heterogeneously Delayed Network-State Information. [PDF]
    Queueing Systems: Theory and Applications (QUES), Special Issue on Wireless Communication Networks, Vol. 72, June 2012.

  • Aditya Gopalan, Constantine Caramanis , and Sanjay Shakkottai, On Wireless Scheduling with Partial Channel-State Information. [PDF]
    IEEE Transactions on Information Theory, Vol. 58(1), January 2012.

Conference/Workshop Proceedings
  • Sayak Ray Chowdhury and Aditya Gopalan, On Kernelized Multi-armed Bandits. [ArXiv]
    Proc. International Conference on Machine Learning (ICML), 2017.

  • Aditya Gopalan, Prashanth L.A., Michael Fu and Steve Marcus, Weighted bandits or: How bandits learn distorted values that are not expected.
    AAAI Conference on Artificial Intelligence (AAAI), 2017.

  • Avishek Ghosh, Sayak Ray Chowdhury and Aditya Gopalan, Misspecified Linear Bandits.
    AAAI Conference on Artificial Intelligence (AAAI), 2017.

  • Ravi Kolla, Krishna Jagannathan and Aditya Gopalan, Collaborative Learning of Stochastic Bandits over a Social Network.
    54th Annual Allerton Conference on Communication, Control, and Computing, Univ. of Illinois at Urbana-Champaign (USA), 2016.

  • Rahul Meshram, D. Manjunath and Aditya Gopalan, Optimal Recommendation to Users that React: Online Learning for a Class of POMDPs.
    Proc. IEEE Conference on Decision and Control (CDC), Las Vegas (USA), 2016.

  • Andrew Newell, Gabriel Kliot, Ishai Menache, Aditya Gopalan and Mark Silberstein, Optimizing Distributed Actor Systems for Dynamic Interactive Services.
    Proc. European Conference on Computer Systems (EuroSys 2016), London (UK), 2016.

  • Shivaram Kalyanakrishnan, Neeldhara Misra and Aditya Gopalan, Randomised Procedures for Initialising and Switching Actions in Policy Iteration. [PDF]
    Proc. 30th AAAI Conference on Artificial Intelligence (AAAI), Phoenix (USA), 2016.

  • Rahul Meshram, D. Manjunath and Aditya Gopalan, A Restless Bandit With No Observable States for Recommendation Systems and Communication Link Scheduling. [PDF]
    Proc. IEEE Conference on Decision and Control (CDC), Osaka (Japan), 2015.

  • Aditya Gopalan and Shie Mannor, Thompson Sampling for Learning Parameterized Markov Decision Processes. [arXiv]
    Proc. Conference on Learning Theory (COLT), Paris (France), 2015.

  • Abhinav Kumar, Sibi Raj B. Pillai, Rahul Vaze, and Aditya Gopalan, Optimal WiFi Sensing via Dynamic Programming.
    The 2015 International Workshop on Resource Allocation, Cooperation and Competition in Wireless Networks (RAWNET), WiOpt 2015, Mumbai, India.

  • Aditya Gopalan, Shie Mannor, and Yishay Mansour, Thompson Sampling for Complex Online Problems. [PDF]
    Proc. International Conference on Machine Learning (ICML), Beijing, June 2014.

  • Aditya Gopalan, Shie Mannor, and Yishay Mansour, Complex Bandit Problems and Thompson Sampling. [PDF]
    First Multidisciplinary Conference on Reinforcement Learning and Decision Making, Princeton, NJ, USA, October 2013.

  • Aditya Gopalan, Constantine Caramanis, and Sanjay Shakkottai, Low-Delay Wireless Scheduling with Partial Channel-state Information. [PDF]
    Proceedings of the 31st IEEE International Conference on Computer Communications (IEEE INFOCOM), Orlando, March 2012.

  • Ioannis Mitliagkas, Aditya Gopalan, Constantine Caramanis, and Sriram Viswanath, User Rankings from Comparisons: Learning Permutations in High Dimensions. [PDF]
    Proceedings of the 49th Allerton Conference on Communication, Control, and Computing, Urbana, IL, September 2011.

  • Aditya Gopalan, Siddhartha Banerjee, Abhik Kumar Das, and Sanjay Shakkottai, Random Mobility and the Spread of Infection. [PDF]
    Proceedings of the 30th IEEE International Conference on Computer Communications (IEEE INFOCOM), Shanghai, April 2011.

  • Akula Aneesh Reddy, Siddhartha Banerjee, Aditya Gopalan, Sanjay Shakkottai, and Lei Ying, Wireless Scheduling with Heterogeneously Delayed Network-State Information. [PDF]
    Proceedings of the 48th Allerton Conference on Communication, Control, and Computing, Urbana, IL, September 2010.

  • Aditya Gopalan, Constantine Caramanis, and Sanjay Shakkottai, On the Value of Coordination and Delayed Queue Information in Multicellular Scheduling. [PDF]
    Proceedings of the 2010 Information Theory and Applications Workshop, San Diego, CA, February 2010.

  • Aditya Gopalan, Constantine Caramanis , and Sanjay Shakkottai, On Wireless Scheduling with Partial Channel-State Information. [PDF]
    Proceedings of the 45th Allerton Conference on Communication, Control, and Computing, Urbana, IL, September 2007.

  • Aditya Gopalan and Srikrishna Bhashyam, A Multiple Lattice Reduction Based Detector for Space Time Block Codes based on Cyclotomic Extensions.
    Proceedings of the 44th Allerton Conference on Communication, Control, and Computing, Urbana, IL, August 2006.

Technical Reports
  • Aditya Gopalan, Thompson Sampling for Online Learning with Linear Experts [arXiv]
    Tech. Report, 2013.

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