Siva Theja Maguluri

Orcid: 0000-0002-5797-1639

According to our database1, Siva Theja Maguluri authored at least 72 papers between 2012 and 2024.

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Bibliography

2024
Heavy Traffic Joint Queue Length Distribution withoutResource Pooling.
SIGMETRICS Perform. Evaluation Rev., February, 2024

Exponential Tail Bounds on Queues: A Confluence of Non- Asymptotic Heavy Traffic and Large Deviations.
SIGMETRICS Perform. Evaluation Rev., February, 2024

A Lyapunov Theory for Finite-Sample Guarantees of Markovian Stochastic Approximation.
Oper. Res., 2024

Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem.
CoRR, 2024

Performance of NPG in Countable State-Space Average-Cost RL.
CoRR, 2024

Convergence for Natural Policy Gradient on Infinite-State Average-Reward Markov Decision Processes.
CoRR, 2024

Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise.
CoRR, 2024

Policy Evaluation for Variance in Average Reward Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Optimal Pricing in a Single Server System.
ACM Trans. Model. Perform. Evaluation Comput. Syst., December, 2023

Target Network and Truncation Overcome the Deadly Triad in \(\boldsymbol{Q}\)-Learning.
SIAM J. Math. Data Sci., December, 2023

Exponential Tail Bounds on Queues.
SIGMETRICS Perform. Evaluation Rev., September, 2023

Finite-Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm.
IEEE Trans. Autom. Control., June, 2023

Heavy Traffic Queue Length Distribution without Resource Pooling in an Input-Queued Switch.
SIGMETRICS Perform. Evaluation Rev., April, 2023

Dynamic Pricing and Matching for Two-Sided Queues.
Oper. Res., January, 2023

Concentration of Contractive Stochastic Approximation: Additive and Multiplicative Noise.
CoRR, 2023

Power-of-d Choices Load Balancing in the Sub-Halfin Whitt Regime.
Proceedings of the Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2023

Stochastic Approximation for Nonlinear Discrete Stochastic Control: Finite-Sample Bounds for Exponentially Stable Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Heavy-Traffic Insensitive Bounds for Weighted Proportionally Fair Bandwidth Sharing Policies.
Math. Oper. Res., November, 2022

Heavy-Traffic Analysis of Queueing Systems with No Complete Resource Pooling.
Math. Oper. Res., November, 2022

Low-Complexity Switch Scheduling Algorithms: Delay Optimality in Heavy Traffic.
IEEE/ACM Trans. Netw., 2022

On Heavy-Traffic Optimal Scaling of c-Weighted MaxWeight Scheduling in Input-Queued Switches.
IEEE Trans. Autom. Control., 2022

A Heavy Traffic Theory of Two-Sided Queues.
SIGMETRICS Perform. Evaluation Rev., 2022

On linear and super-linear convergence of Natural Policy Gradient algorithm.
Syst. Control. Lett., 2022

A load balancing system in the many-server heavy-traffic asymptotics.
Queueing Syst. Theory Appl., 2022

Stationary Behavior of Constant Stepsize SGD Type Algorithms: An Asymptotic Characterization.
Proc. ACM Meas. Anal. Comput. Syst., 2022

Optimal pricing in multi server systems.
Perform. Evaluation, 2022

Logarithmic heavy traffic error bounds in generalized switch and load balancing systems.
J. Appl. Probab., 2022

Finite-Sample Analysis of Off-Policy Natural Actor-Critic With Linear Function Approximation.
IEEE Control. Syst. Lett., 2022

Backward Curriculum Reinforcement Learning.
CoRR, 2022

Matching Queues with Abandonments in Quantum Switches: Stability and Throughput Analysis.
CoRR, 2022

Target Network and Truncation Overcome The Deadly triad in Q-Learning.
CoRR, 2022

Finite-sample analysis of nonlinear stochastic approximation with applications in reinforcement learning.
Autom., 2022

Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling.
Proceedings of the International Conference on Machine Learning, 2022

Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Throughput Optimal Routing in Blockchain-Based Payment Systems.
IEEE Trans. Control. Netw. Syst., 2021

Convergence Rates of Distributed Gradient Methods Under Random Quantization: A Stochastic Approximation Approach.
IEEE Trans. Autom. Control., 2021

Fast Convergence Rates of Distributed Subgradient Methods With Adaptive Quantization.
IEEE Trans. Autom. Control., 2021

Finite-Time Performance of Distributed Temporal-Difference Learning with Linear Function Approximation.
SIAM J. Math. Data Sci., 2021

Heavy traffic queue length scaling in switches with reconfiguration delay.
Queueing Syst. Theory Appl., 2021

QPS-r: A cost-effective iterative switching algorithm for input-queued switches.
Perform. Evaluation, 2021

Throughput and delay optimality of power-of-<i>d</i> choices in inhomogeneous load balancing systems.
Oper. Res. Lett., 2021

Transportation Polytope and its Applications in Parallel Server Systems.
CoRR, 2021

A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants.
CoRR, 2021

Dynamic Pricing and Matching for Two-Sided Markets with Strategic Servers.
Proceedings of the SIGMETRICS '21: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2021

Finite Sample Analysis of Average-Reward TD Learning and $Q$-Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm.
Proceedings of the 38th International Conference on Machine Learning, 2021

On the Linear Convergence of Natural Policy Gradient Algorithm.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes.
CoRR, 2020

Optimal Pricing in Finite Server Systems.
Proceedings of the 18th International Symposium on Modeling and Optimization in Mobile, 2020

Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Heavy-traffic Analysis of the Generalized Switch under Multidimensional State Space Collapse.
SIGMETRICS Perform. Evaluation Rev., 2019

Finite-Time Analysis of Q-Learning with Linear Function Approximation.
CoRR, 2019

QPS-r: A Cost-Effective Crossbar Scheduling Algorithm and Its Stability and Delay Analysis.
CoRR, 2019

Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
A Novel View of the Drift: Method for Heavy Traffic Limits of Queueing Systems.
SIGMETRICS Perform. Evaluation Rev., 2018

Optimal heavy-traffic queue length scaling in an incompletely saturated switch.
Queueing Syst. Theory Appl., 2018

Optimal Dynamic Control for Input-Queued Switches in Heavy Traffic.
Proceedings of the 2018 Annual American Control Conference, 2018

On the Convergence of Distributed Subgradient Methods under Quantization.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Heavy-Traffic Delay Insensitivity in Connection-Level Models of Data Transfer with Proportionally Fair Bandwidth Sharing.
SIGMETRICS Perform. Evaluation Rev., 2017

The Drift Method for Heavy Traffic Limits, with Applications in Data Centers and Networks.
SIGMETRICS Perform. Evaluation Rev., 2017

Optimal Energy Procurement for Geo-distributed Data Centers in Multi-timescale Electricity Markets.
SIGMETRICS Perform. Evaluation Rev., 2017

Heavy traffic queue length behavior in switches with reconfiguration delay.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

On optimal portfolios of dynamic resource allocations.
Proceedings of the 2017 American Control Conference, 2017

2016
Risk-Based Dynamic Allocation of Computing Resources.
SIGMETRICS Perform. Evaluation Rev., 2016

Delay-Optimal Scheduling for Some Input-Queued Switches.
SIGMETRICS Perform. Evaluation Rev., 2016

2015
Heavy-Traffic Behavior of the MaxWeight Algorithm in a Switch with Uniform Traffic.
SIGMETRICS Perform. Evaluation Rev., 2015

2014
Optimal resource allocation algorithms for cloud computing
PhD thesis, 2014

Scheduling Jobs With Unknown Duration in Clouds.
IEEE/ACM Trans. Netw., 2014

The Stability of Longest-Queue-First Scheduling With Variable Packet Sizes.
IEEE Trans. Autom. Control., 2014

Heavy traffic optimal resource allocation algorithms for cloud computing clusters.
Perform. Evaluation, 2014

2012
Stochastic models of load balancing and scheduling in cloud computing clusters.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012


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