Harsha Honnappa

Orcid: 0000-0002-0834-054X

According to our database1, Harsha Honnappa authored at least 37 papers between 2008 and 2024.

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Bibliography

2024
Pathwise Relaxed Optimal Control of Rough Differential Equations.
CoRR, 2024

2023
Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency.
SIAM J. Optim., September, 2023

Distributed (ATC) Gradient Descent for High Dimension Sparse Regression.
IEEE Trans. Inf. Theory, August, 2023

On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Calibrating nonstationary queueing network models.
Queueing Syst. Theory Appl., 2022

Strong Embeddings for Transitory Queueing Models.
Math. Oper. Res., 2022

Offline Estimation of Controlled Markov Chains: Minimax Nonparametric Estimators and Sample Efficiency.
CoRR, 2022

Sample Average Approximation Over Function Spaces: Statistical Consistency and Rate of Convergence.
Proceedings of the Winter Simulation Conference, 2022

2021
Infinite server queues in a random fast oscillatory environment.
Queueing Syst. Theory Appl., 2021

A many-server functional strong law for a non-stationary loss model.
Oper. Res. Lett., 2021

Technical Note - Approximating Systems Fed by Poisson Processes with Rapidly Changing Arrival Rates.
Oper. Res., 2021

PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models.
Entropy, 2021

Distributed Sparse Regression via Penalization.
CoRR, 2021

A Feynman-Kac Type Theorem for ODEs: Solutions of Second Order ODEs as Modes of Diffusions.
CoRR, 2021

Calibrating Infinite Server Queueing Models Driven By Cox Processes.
Proceedings of the Winter Simulation Conference, 2021

2020
Asymptotic Consistency of α-Rényi-Approximate Posteriors.
J. Mach. Learn. Res., 2020

An optimal control approach to day-to-day congestion pricing for stochastic transportation networks.
Comput. Oper. Res., 2020

Estimating Stochastic Poisson Intensities Using Deep Latent Models.
Proceedings of the Winter Simulation Conference, 2020

Statistical Inference for Approximate Bayesian Optimal Design.
Proceedings of the Winter Simulation Conference, 2020

2019
Large deviations of bivariate Gaussian extrema.
Queueing Syst. Theory Appl., 2019

Asymptotically Optimal Appointment Schedules.
Math. Oper. Res., 2019

Asymptotic Consistency of Loss-Calibrated Variational Bayes.
CoRR, 2019

Variational Bayesian Methods for Stochastically Constrained System Design Problems.
Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2018
An optimal control approach of within day congestion pricing for stochastic transportation networks.
CoRR, 2018

Optimal Allocations for sample Average Approximation.
Proceedings of the 2018 Winter Simulation Conference, 2018

2017
Rare events of transitory queues.
J. Appl. Probab., 2017

2016
The Superposition-Traffic Game.
SIGMETRICS Perform. Evaluation Rev., 2016

2015
A queueing model with independent arrivals, and its fluid and diffusion limits.
Queueing Syst. Theory Appl., 2015

Strategic Arrivals into Queueing Networks: The Network Concert Queueing Game.
Oper. Res., 2015

Rare events of marked finite point processes.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
On Transitory Queueing.
CoRR, 2014

Mean field limits by population acceleration.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2012
Δ(i)/GI/1: A New Queueing Model For Transitory Queueing Systems
CoRR, 2012

A new transitory queueing model and its process limits.
Proceedings of the 6th International ICST Conference on Performance Evaluation Methodologies and Tools, 2012

The A(i)/GI/l Queue: A new model of transitory queueing.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2010
Strategic arrivals into queueing networks.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2008
Customer Event Rate Estimation Using Particle Filters.
Proceedings of the Data Mining and Analytics 2008, 2008


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