Customer Event Rate Estimation Using Particle Filters. - Harsha Honnappa (AusDM, 2008)

Strategic arrivals into queueing networks. - Harsha Honnappa; Rahul Jain 002 (Allerton, 2010)

The A(i)/GI/l Queue: A new model of transitory queueing. - Harsha Honnappa; Rahul Jain 002; Amy R. Ward (Allerton Conference, 2012)

A new transitory queueing model and its process limits. - Harsha Honnappa; Rahul Jain 002; Amy R. Ward (VALUETOOLS, 2012)

Δ(i)/GI/1: A New Queueing Model For Transitory Queueing Systems - Harsha Honnappa; Rahul Jain 002; Amy R. Ward (CoRR, 2012)

Mean field limits by population acceleration. - Harsha Honnappa; Rahul Jain 002; Amy R. Ward (CDC, 2014)

On Transitory Queueing. - Harsha Honnappa; Rahul Jain 002; Amy R. Ward (CoRR, 2014)

Rare events of marked finite point processes. - Harsha Honnappa (Allerton, 2015)

Strategic Arrivals into Queueing Networks: The Network Concert Queueing Game. - Harsha Honnappa; Rahul Jain 002 (Oper. Res., 2015)

A queueing model with independent arrivals, and its fluid and diffusion limits. - Harsha Honnappa; Rahul Jain 002; Amy R. Ward (Queueing Syst. Theory Appl., 2015)

The Superposition-Traffic Game. - Ashish Ranjan Hota; Harsha Honnappa; Shreyas Sundaram (SIGMETRICS Perform. Evaluation Rev., 2016)

Rare events of transitory queues. - Harsha Honnappa (J. Appl. Probab., 2017)

Optimal Allocations for sample Average Approximation. - Prateek Jaiswal; Harsha Honnappa; Raghu Pasupathy (WSC, 2018)

An optimal control approach of within day congestion pricing for stochastic transportation networks. - Hemant Gehlot; Harsha Honnappa; Satish V. Ukkusuri (CoRR, 2018)

Variational Bayesian Methods for Stochastically Constrained System Design Problems. - Prateek Jaiswal; Harsha Honnappa; Vinayak A. Rao (AABI, 2019)

Asymptotic Consistency of Loss-Calibrated Variational Bayes. - Prateek Jaiswal; Harsha Honnappa; Vinayak A. Rao (CoRR, 2019)

Asymptotically Optimal Appointment Schedules. - Mor Armony; Rami Atar; Harsha Honnappa (Math. Oper. Res., 2019)

Large deviations of bivariate Gaussian extrema. - Remco van der Hofstad; Harsha Honnappa (Queueing Syst. Theory Appl., 2019)

Statistical Inference for Approximate Bayesian Optimal Design. - Prateek Jaiswal; Harsha Honnappa (WSC, 2020)

Estimating Stochastic Poisson Intensities Using Deep Latent Models. - Ruixin Wang; Prateek Jaiswal; Harsha Honnappa (WSC, 2020)

An optimal control approach to day-to-day congestion pricing for stochastic transportation networks. - Hemant Gehlot; Harsha Honnappa; Satish V. Ukkusuri (Comput. Oper. Res., 2020)

Asymptotic Consistency of α-Rényi-Approximate Posteriors. - Prateek Jaiswal; Vinayak A. Rao; Harsha Honnappa (J. Mach. Learn. Res., 2020)

Calibrating Infinite Server Queueing Models Driven By Cox Processes. - Ruixin Wang; Harsha Honnappa (WSC, 2021)

A Feynman-Kac Type Theorem for ODEs: Solutions of Second Order ODEs as Modes of Diffusions. - Zachary Selk; Harsha Honnappa (CoRR, 2021)

PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models. - Imon Banerjee; Vinayak A. Rao; Harsha Honnappa (Entropy, 2021)

Technical Note - Approximating Systems Fed by Poisson Processes with Rapidly Changing Arrival Rates. - Zeyu Zheng; Harsha Honnappa; Peter W. Glynn (Oper. Res., 2021)

A many-server functional strong law for a non-stationary loss model. - Prakash Chakraborty; Harsha Honnappa (Oper. Res. Lett., 2021)

Infinite server queues in a random fast oscillatory environment. - Yiran Liu; Harsha Honnappa; Samy Tindel; Nung Kwan Yip (Queueing Syst. Theory Appl., 2021)

Sample Average Approximation Over Function Spaces: Statistical Consistency and Rate of Convergence. - Zihe Zhou; Harsha Honnappa; Raghu Pasupathy (WSC, 2022)

Offline Estimation of Controlled Markov Chains: Minimax Nonparametric Estimators and Sample Efficiency. - Imon Banerjee; Harsha Honnappa; Vinayak A. Rao (CoRR, 2022)

Strong Embeddings for Transitory Queueing Models. - Prakash Chakraborty; Harsha Honnappa (Math. Oper. Res., 2022)

Calibrating nonstationary queueing network models. - Harsha Honnappa (Queueing Syst. Theory Appl., 2022)

On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making. - Prateek Jaiswal; Harsha Honnappa; Vinayak A. Rao (NeurIPS, 2023)

Distributed Sparse Regression via Penalization. - Yao Ji; Gesualdo Scutari; Ying Sun 003; Harsha Honnappa (J. Mach. Learn. Res., 2023)

Distributed (ATC) Gradient Descent for High Dimension Sparse Regression. - Yao Ji; Gesualdo Scutari; Ying Sun 003; Harsha Honnappa (IEEE Trans. Inf. Theory, 2023)

Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency. - Prateek Jaiswal; Harsha Honnappa; Vinayak A. Rao (SIAM J. Optim., 2023)

Introduction to Optimal Transport. - Ilya O. Ryzhov; Raghu Pasupathy; Harsha Honnappa (WSC, 2024)

Pathwise Relaxed Optimal Control of Rough Differential Equations. - Prakash Chakraborty; Harsha Honnappa; Samy Tindel (CoRR, 2024)

Off-line Estimation of Controlled Markov Chains: Minimaxity and Sample Complexity. - Imon Banerjee; Harsha Honnappa; Vinayak Rao (Oper. Res., 2025)