Skip navigation
Stochastic Systems Lab

Publications

ResearchGate

Classification of papers: SM -- Stochastic Modeling; MLI -- Machine Learning and Inference; SOG -- Stochastic Optimization and Games.

Accepted Journal Papers

  1. [SM]"The \Delta(i)/GI/1 Queueing Model, and its Fluid and Diffusion Approximations”, H. Honnappa , R. Jain and A. R. Ward, Queueing Systems: Theory and Applications, 80.1-2 (2015): 71-103.
  2. [SM,SOG] "Strategic Arrivals into Queueing Networks: The Network Concert Queueing Game'', H. Honnappa, and R. Jain. Operations Research 63.1 (2015): 247-259.
  3. [SM] "Rare Events of Transitory Queues”, H. Honnappa, Accepted to Journal of Applied Probability (2017).
  4. [SM,SOG] "Asymptotically Optimal Appointment Schedules", R. Atar, M. Armony and H. Honnappa, Accepted to Mathematics of Operations Research 44.4 (2019):1345-1380.
  5. [SM,SOG] “Introduction to the Applied Probability Society’s “Open Problems in Applied Probability” Session at the INFORMS Annual Meeting, Phoenix, Arizona, November 4–7, 2018”, R. Atar and H. Honnappa, Stochastic Systems, 9(3) 291 (2019).
  6. [SM, SOG] 1.  “Open Problem–Adaptive Constant-Step Stochastic Approximation,” R. Pasupathy, H. Honnappa and S. R. Hunter, Stochastic Systems. 9(3) 307—310 (2019).
  7. [SM,MLI] "Modeling Urban Taxi Services with e-Hailing: A Queueing Network Approach'', W. Zhang, H. Honnappa and S. Ukkusuri, Accepted to Transportation Research: Part C (2019).
  8. [SM] "Large Deviations of Bivariate Gaussian Extrema'', R. v. d. Hofstad and, H. Honnappa, Accepted to Queueing Systems: Theory and Applications (2019).
  9. [SM] "Approximating Systems Fed by Poisson Processes with Rapidly Changing Arrival Rates'', Z. Zheng, H. Honnappa and P.W. Glynn, Accepted to Operations Research (2020).
  10. [MLI] "Asymptotic Consistency of Loss-Calibrated Variational Bayes'', P. Jaiswal, H. Honnappa and V. A. Rao, Stat. 9:e258 (2020).
  11. [SM,SOG] "An Optimal Control Approach to Within Day Congestion Pricing for Stochastic Transportation Networks'', H. Gehlot, H. Honnappa and S. Ukkusuri, Accepted to Computers and Operations Research (2020).
  12. [MLI] "Asymptotic Consistency of $\alpha$-R\'enyi Approximate Posteriors'', P. Jaiswal, H. Honnappa and V. A. Rao, Accepted to Journal of Machine Learning Research (2020)
  13. [SM] "Strong Embeddings for Transitory Stochastic Models'', P. Chakraborty and H. Honnappa, Accepted to Mathematics of Operations Research (2021).
  14. [MLI] "PAC-Bayes Bounds for Variational Tempered Posteriors on Markov Data Models", I. Banerjee, V.A. Rao and H. Honnappa, Accepted to Entropy (2021).
  15. [SM] "A Many-Server Functional Strong Law For A Non-Stationary Loss Model'', P. Chakraborty and H. Honnappa, Accepted to Operations Research Letters (2021).
  16. [SM] "Infinite Server Queues in a Random Fast Oscillatory Environment'', Y. Liu, H. Honnappa, N-K. Yip and S. Tindel, Accepted to Queueing Systems (2021).
 
Under Revision, Submitted and Working Papers
 
  1. [SM] "Approximating Performance Measures for Slowly Changing Non-stationary Markov Chains'', Z. Zheng, H. Honnappa, P. W. Glynn, Major Revision at Operations Research (2019).
  2. [SM,SOG] "Information Projection on Banach spaces with Applications to State Independent KL-Weighted Optimal Control'', Z. Selk, H. Honnappa and W. B. Haskell, Submitted to Applied Mathematics and Optimization (2020).
  3. [MLI,SOG] "Risk-Sensitive Variational Bayes: Formulations and Bounds'', P. Jaiswal, H. Honnappa, V. A. Rao, Working Paper (2021).
  4. [SM,SOG] "Stochastic Optimization on Wiener Space:  Sample Average Approximation'', Z. Zhou, H. Honnappa and R. Pasupathy, Working Paper (2021).
  5. [SM] "The Capacity Region of a Loss Network is Non-Convex'', X. Wang and H. Honnappa, Working Paper (2020).
  6. [SM] "Visibility and Invisibility in Ticket Queue Systems'', B. Wei, H. Honnappa and W. B. Haskell, Working Paper (2020).
  7. [MLI] "Variational Inference for Diffusion-Modulated Cox Processes", P. Jaiswal, H. Honnappa and V. A. Rao, Working Paper (2021).
  8. [SM] "Conditioned Functional Limits and Applications to Queues'', H. Honnappa, R. Jain and A. R. Ward, Working Paper (2019).
  9. [SM,MLI] “Dominating Points of Gaussian Extremes”, H. Honnappa, P. Jaiswal, R. Pasupathy, arXiv:1810.12132, Working Paper (2021)
  10. [SM] “On Gaussian Limits and Large Deviations for Queues Fed by High Intensity Randomly Scattered Traffic”, P.W. Glynn and H. Honnappa, arXiv:1708.05584, Working Paper (2021)
  11. [SM] "Rescaled Limits for Infinite-server Queues In a Random Environment", Y. Liu, H. Honnappa, N-K. Yip, S. Tindel, Working Paper (2021).
 
Peer Reviewed Conference Papers
 
  1. [SM,SOG] "Strategic arrivals into queueing networks”, H. Honnappa  and R. Jain, Proceedings of the Allerton Conference on Systems, Communications and Control (2010).
  2. [SM] "A transitory queueing model, and its process limits”, H. Honnappa , R. Jain and A. Ward, SIAM Conference on Control and its Applications (2011).
  3. [SM] "A transitory queueing model, and its process limits”, H. Honnappa , R. Jain and A. Ward, The ValueTools Conference (2012).
  4. [SM] "The \Delta/GI/1 Queue: A New Model of Transitory Queueing”, H. Honnappa , R. Jain and A. R. Ward, Proceedings of the Allerton Conference (2012).
  5. [SM] "Mean Field Limits by Population Acceleration,” H. Honnappa , R. Jain, A.R. Ward, Proceedings of the IEEE Conference on Decision and Control (2014).
  6. [SM] "Rare Events of Marked Finite Point Processes”, H. Honnappa , Proceedings of 53rd Annual Allerton Conference on Communication, Control, and Computing (2015).
  7. [SOG,SM] "The Superposition-Traffic Game”, A. R. Hota, H. Honnappa and S. Sundaram, The 11th Workshop on The Economics of Networks, Systems and Computation (2016).
  8. [MLI] "Customer Event Rate Estimation Using Particle Filters”, H. Honnappa, Proceedings of the Australasian Data Mining Conference: AusDM (2008).
  9. [MLI,SOG] "Optimal Allocations for Sample Average Approximation'', P. Jaiswal, H. Honnappa, R. Pasupathy, Winter Simulation Conference (2018).
  10. [MLI] "Variational Inference for Risk-Sensitive Decision-Making'', P. Jaiswal, H. Honnappa, V.A. Rao, NeurIPS 2019 Workshop on Safety and Robustness in Decision Making (2019).
  11. [MLI,SOG,SM] "Variational Bayesian Methods for Stochastically Constrained System Design Problems'', P. Jaiswal, H. Honnappa, V.A. Rao, Proceedings of Machine Learning Research, Vol. 118, 2nd Symposium on Advances in Approximate Bayesian Inference, NeuRIPS (2019).
  12. [MLI,SM] "Estimating Stochastic Poisson Intensities Using Deep Latent Models'', R. Wang, P. Jaiswal and H. Honnappa, Proceedings of the Winter Simulation Conference (2020).
  13. [MLI,SOG] "Statistical Inference For Approximate Bayesian Optimal Design'', P. Jaiswal and H. Honnappa, Proceedings of the Winter Simulation Conference (2020).