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Siva Theja Maguluri
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2020 – today
- 2024
- [j41]Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
A Lyapunov Theory for Finite-Sample Guarantees of Markovian Stochastic Approximation. Oper. Res. 72(4): 1352-1367 (2024) - [j40]Prakirt Raj Jhunjhunwala, Siva Theja Maguluri:
Heavy Traffic Joint Queue Length Distribution withoutResource Pooling. SIGMETRICS Perform. Evaluation Rev. 51(4): 16-17 (2024) - [j39]Prakirt Raj Jhunjhunwala, Daniela Hurtado-Lange, Siva Theja Maguluri:
Exponential Tail Bounds on Queues: A Confluence of Non- Asymptotic Heavy Traffic and Large Deviations. SIGMETRICS Perform. Evaluation Rev. 51(4): 18-19 (2024) - [c26]Shubhada Agrawal, Prashanth L. A., Siva Theja Maguluri:
Policy Evaluation for Variance in Average Reward Reinforcement Learning. ICML 2024 - [i28]Shaan Ul Haque, Sajad Khodadadian, Siva Theja Maguluri:
Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise. CoRR abs/2401.00364 (2024) - [i27]Isaac Grosof, Siva Theja Maguluri, R. Srikant:
Convergence for Natural Policy Gradient on Infinite-State Average-Reward Markov Decision Processes. CoRR abs/2402.05274 (2024) - [i26]Yashaswini Murthy, Isaac Grosof, Siva Theja Maguluri, R. Srikant:
Performance of NPG in Countable State-Space Average-Cost RL. CoRR abs/2405.20467 (2024) - 2023
- [j38]Sushil Mahavir Varma, Pornpawee Bumpensanti, Siva Theja Maguluri, He Wang:
Dynamic Pricing and Matching for Two-Sided Queues. Oper. Res. 71(1): 83-100 (2023) - [j37]Prakirt Raj Jhunjhunwala, Siva Theja Maguluri:
Heavy Traffic Queue Length Distribution without Resource Pooling in an Input-Queued Switch. SIGMETRICS Perform. Evaluation Rev. 50(4): 26-28 (2023) - [j36]Prakirt Raj Jhunjhunwala, Daniela Hurtado-Lange, Siva Theja Maguluri:
Exponential Tail Bounds on Queues. SIGMETRICS Perform. Evaluation Rev. 51(2): 24-26 (2023) - [j35]Zaiwei Chen, John-Paul Clarke, Siva Theja Maguluri:
Target Network and Truncation Overcome the Deadly Triad in \(\boldsymbol{Q}\)-Learning. SIAM J. Math. Data Sci. 5(4): 1078-1101 (2023) - [j34]Sajad Khodadadian, Thinh T. Doan, Justin Romberg, Siva Theja Maguluri:
Finite-Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm. IEEE Trans. Autom. Control. 68(6): 3273-3284 (2023) - [j33]Ashok Krishnan K. S., Chandramani Singh, Siva Theja Maguluri, Parimal Parag:
Optimal Pricing in a Single Server System. ACM Trans. Model. Perform. Evaluation Comput. Syst. 8(4): 12:1-12:32 (2023) - [c25]Hoang Nguyen, Siva Theja Maguluri:
Stochastic Approximation for Nonlinear Discrete Stochastic Control: Finite-Sample Bounds for Exponentially Stable Systems. CDC 2023: 5812-5817 - [c24]Sushil Mahavir Varma, Francisco Castro, Siva Theja Maguluri:
Power-of-d Choices Load Balancing in the Sub-Halfin Whitt Regime. SIGMETRICS (Abstracts) 2023: 95-96 - [i25]Zaiwei Chen, Siva Theja Maguluri, Martin Zubeldia:
Concentration of Contractive Stochastic Approximation: Additive and Multiplicative Noise. CoRR abs/2303.15740 (2023) - 2022
- [j32]Zaiwei Chen, Sheng Zhang, Thinh T. Doan, John-Paul Clarke, Siva Theja Maguluri:
Finite-sample analysis of nonlinear stochastic approximation with applications in reinforcement learning. Autom. 146: 110623 (2022) - [j31]Zaiwei Chen, Sajad Khodadadian, Siva Theja Maguluri:
Finite-Sample Analysis of Off-Policy Natural Actor-Critic With Linear Function Approximation. IEEE Control. Syst. Lett. 6: 2611-2616 (2022) - [j30]Daniela Hurtado-Lange, Sushil Mahavir Varma, Siva Theja Maguluri:
Logarithmic heavy traffic error bounds in generalized switch and load balancing systems. J. Appl. Probab. 59(3): 652-669 (2022) - [j29]Weina Wang, Siva Theja Maguluri, R. Srikant, Lei Ying:
Heavy-Traffic Insensitive Bounds for Weighted Proportionally Fair Bandwidth Sharing Policies. Math. Oper. Res. 47(4): 2691-2720 (2022) - [j28]Daniela Hurtado-Lange, Siva Theja Maguluri:
Heavy-Traffic Analysis of Queueing Systems with No Complete Resource Pooling. Math. Oper. Res. 47(4): 3129-3155 (2022) - [j27]Ashok Krishnan K. S., Chandramani Singh, Siva Theja Maguluri, Parimal Parag:
Optimal pricing in multi server systems. Perform. Evaluation 154: 102282 (2022) - [j26]Zaiwei Chen, Shancong Mou, Siva Theja Maguluri:
Stationary Behavior of Constant Stepsize SGD Type Algorithms: An Asymptotic Characterization. Proc. ACM Meas. Anal. Comput. Syst. 6(1): 19:1-19:24 (2022) - [j25]Daniela Hurtado-Lange, Siva Theja Maguluri:
A load balancing system in the many-server heavy-traffic asymptotics. Queueing Syst. Theory Appl. 101(3-4): 353-391 (2022) - [j24]Sajad Khodadadian, Prakirt Raj Jhunjhunwala, Sushil Mahavir Varma, Siva Theja Maguluri:
On linear and super-linear convergence of Natural Policy Gradient algorithm. Syst. Control. Lett. 164: 105214 (2022) - [j23]Sushil Mahavir Varma, Siva Theja Maguluri:
A Heavy Traffic Theory of Two-Sided Queues. SIGMETRICS Perform. Evaluation Rev. 49(3): 43-44 (2022) - [j22]Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk:
On Heavy-Traffic Optimal Scaling of c-Weighted MaxWeight Scheduling in Input-Queued Switches. IEEE Trans. Autom. Control. 67(8): 4272-4277 (2022) - [j21]Prakirt Raj Jhunjhunwala, Siva Theja Maguluri:
Low-Complexity Switch Scheduling Algorithms: Delay Optimality in Heavy Traffic. IEEE/ACM Trans. Netw. 30(1): 464-473 (2022) - [c23]Zaiwei Chen, Siva Theja Maguluri:
Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation. AISTATS 2022: 11195-11214 - [c22]Sajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri:
Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling. ICML 2022: 10997-11057 - [c21]Zaiwei Chen, Shancong Mou, Siva Theja Maguluri:
Stationary Behavior of Constant Stepsize SGD Type Algorithms: An Asymptotic Characterization. SIGMETRICS (Abstracts) 2022: 109-110 - [i24]Zaiwei Chen, John-Paul Clarke, Siva Theja Maguluri:
Target Network and Truncation Overcome The Deadly triad in Q-Learning. CoRR abs/2203.02628 (2022) - [i23]Sajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri:
Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling. CoRR abs/2206.10185 (2022) - [i22]Zaiwei Chen, Siva Theja Maguluri:
Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation. CoRR abs/2208.03247 (2022) - [i21]Martin Zubeldia, Prakirt Raj Jhunjhunwala, Siva Theja Maguluri:
Matching Queues with Abandonments in Quantum Switches: Stability and Throughput Analysis. CoRR abs/2209.12324 (2022) - [i20]Kyungmin Ko, Sajad Khodadadian, Siva Theja Maguluri:
Backward Curriculum Reinforcement Learning. CoRR abs/2212.14214 (2022) - 2021
- [j20]Daniela Hurtado-Lange, Siva Theja Maguluri:
Throughput and delay optimality of power-of-d choices in inhomogeneous load balancing systems. Oper. Res. Lett. 49(4): 616-622 (2021) - [j19]Long Gong, Jun (Jim) Xu, Liang Liu, Siva Theja Maguluri:
QPS-r: A cost-effective iterative switching algorithm for input-queued switches. Perform. Evaluation 147: 102197 (2021) - [j18]Chang-Heng Wang, Siva Theja Maguluri, Tara Javidi:
Heavy traffic queue length scaling in switches with reconfiguration delay. Queueing Syst. Theory Appl. 98(1-2): 49-93 (2021) - [j17]Thinh T. Doan, Siva Theja Maguluri, Justin Romberg:
Finite-Time Performance of Distributed Temporal-Difference Learning with Linear Function Approximation. SIAM J. Math. Data Sci. 3(1): 298-320 (2021) - [j16]Thinh T. Doan, Siva Theja Maguluri, Justin Romberg:
Fast Convergence Rates of Distributed Subgradient Methods With Adaptive Quantization. IEEE Trans. Autom. Control. 66(5): 2191-2205 (2021) - [j15]Thinh T. Doan, Siva Theja Maguluri, Justin Romberg:
Convergence Rates of Distributed Gradient Methods Under Random Quantization: A Stochastic Approximation Approach. IEEE Trans. Autom. Control. 66(10): 4469-4484 (2021) - [j14]Sushil Mahavir Varma, Siva Theja Maguluri:
Throughput Optimal Routing in Blockchain-Based Payment Systems. IEEE Trans. Control. Netw. Syst. 8(4): 1859-1868 (2021) - [c20]Sajad Khodadadian, Prakirt Raj Jhunjhunwala, Sushil Mahavir Varma, Siva Theja Maguluri:
On the Linear Convergence of Natural Policy Gradient Algorithm. CDC 2021: 3794-3799 - [c19]Sajad Khodadadian, Zaiwei Chen, Siva Theja Maguluri:
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm. ICML 2021: 5420-5431 - [c18]Sheng Zhang, Zhe Zhang, Siva Theja Maguluri:
Finite Sample Analysis of Average-Reward TD Learning and $Q$-Learning. NeurIPS 2021: 1230-1242 - [c17]Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators. NeurIPS 2021: 21440-21452 - [c16]Sushil Mahavir Varma, Francisco Castro, Siva Theja Maguluri:
Dynamic Pricing and Matching for Two-Sided Markets with Strategic Servers. SIGMETRICS (Abstracts) 2021: 61-62 - [i19]Sajad Khodadadian, Thinh T. Doan, Siva Theja Maguluri, Justin Romberg:
Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm. CoRR abs/2101.10506 (2021) - [i18]Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants. CoRR abs/2102.01567 (2021) - [i17]Sajad Khodadadian, Zaiwei Chen, Siva Theja Maguluri:
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm. CoRR abs/2102.09318 (2021) - [i16]Sajad Khodadadian, Prakirt Raj Jhunjhunwala, Sushil Mahavir Varma, Siva Theja Maguluri:
On the Linear convergence of Natural Policy Gradient Algorithm. CoRR abs/2105.01424 (2021) - [i15]Ashok Krishnan K. S., Chandramani Singh, Siva Theja Maguluri, Parimal Parag:
Optimal Pricing in Multi Server Systems. CoRR abs/2105.02002 (2021) - [i14]Zaiwei Chen, Sajad Khodadadian, Siva Theja Maguluri:
Finite-Sample Analysis of Off-Policy Natural Actor-Critic with Linear Function Approximation. CoRR abs/2105.12540 (2021) - [i13]Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators. CoRR abs/2106.12729 (2021) - [i12]Sushil Mahavir Varma, Siva Theja Maguluri:
Transportation Polytope and its Applications in Parallel Server Systems. CoRR abs/2108.13167 (2021) - [i11]Zaiwei Chen, Shancong Mou, Siva Theja Maguluri:
Stationary Behavior of Constant Stepsize SGD Type Algorithms: An Asymptotic Characterization. CoRR abs/2111.06328 (2021) - 2020
- [j13]Daniela Hurtado-Lange, Siva Theja Maguluri:
Heavy-traffic Analysis of the Generalized Switch under Multidimensional State Space Collapse. SIGMETRICS Perform. Evaluation Rev. 48(3): 33-34 (2020) - [c15]Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes. NeurIPS 2020 - [c14]Daniela Hurtado-Lange, Siva Theja Maguluri:
Heavy-traffic Analysis of the Generalized Switch under Multidimensional State Space Collapse. SIGMETRICS (Abstracts) 2020: 33-34 - [c13]Sushil Mahavir Varma, Pornpawee Bumpensanti, Siva Theja Maguluri, He Wang:
Dynamic Pricing and Matching for Two-Sided Queues. SIGMETRICS (Abstracts) 2020: 105-106 - [c12]Long Gong, Jun (Jim) Xu, Liang Liu, Siva Theja Maguluri:
QPS-r: A Cost-Effective Iterative Switching Algorithm for Input-Queued Switches. VALUETOOLS 2020: 19-26 - [c11]Ashok Krishnan K. S., Chandramani Singh, Siva Theja Maguluri, Parimal Parag:
Optimal Pricing in Finite Server Systems. WiOpt 2020: 190-197 - [i10]Sushil Mahavir Varma, Siva Theja Maguluri:
Throughput Optimal Routing in Blockchain Based Payment Systems. CoRR abs/2001.05299 (2020) - [i9]Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes. CoRR abs/2002.00874 (2020) - [i8]Prakirt Raj Jhunjhunwala, Siva Theja Maguluri:
Low-Complexity Switch Scheduling Algorithms: Delay Optimality in Heavy Traffic. CoRR abs/2004.12271 (2020)
2010 – 2019
- 2019
- [j12]Daniela Hurtado-Lange, Siva Theja Maguluri:
Heavy-traffic Analysis of the Generalized Switch under Multidimensional State Space Collapse. SIGMETRICS Perform. Evaluation Rev. 47(2): 36-38 (2019) - [c10]Thinh T. Doan, Siva Theja Maguluri, Justin Romberg:
Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning. ICML 2019: 1626-1635 - [i7]Long Gong, Jun Xu, Liang Liu, Siva Theja Maguluri:
QPS-r: A Cost-Effective Crossbar Scheduling Algorithm and Its Stability and Delay Analysis. CoRR abs/1905.05392 (2019) - [i6]Zaiwei Chen, Sheng Zhang, Thinh T. Doan, Siva Theja Maguluri, John-Paul Clarke:
Finite-Time Analysis of Q-Learning with Linear Function Approximation. CoRR abs/1905.11425 (2019) - [i5]Thinh T. Doan, Siva Theja Maguluri, Justin Romberg:
Finite-Time Performance of Distributed Temporal Difference Learning with Linear Function Approximation. CoRR abs/1907.12530 (2019) - 2018
- [j11]Siva Theja Maguluri, Sai Kiran Burle, R. Srikant:
Optimal heavy-traffic queue length scaling in an incompletely saturated switch. Queueing Syst. Theory Appl. 88(3-4): 279-309 (2018) - [j10]Daniela Hurtado-Lange, Siva Theja Maguluri:
A Novel View of the Drift: Method for Heavy Traffic Limits of Queueing Systems. SIGMETRICS Perform. Evaluation Rev. 46(2): 81-82 (2018) - [c9]Thinh T. Doan, Siva Theja Maguluri, Justin Romberg:
On the Convergence of Distributed Subgradient Methods under Quantization. Allerton 2018: 567-574 - [c8]Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk:
Optimal Dynamic Control for Input-Queued Switches in Heavy Traffic. ACC 2018: 3804-3809 - [i4]Weina Wang, Siva Theja Maguluri, R. Srikant, Lei Ying:
Heavy-Traffic Insensitive Bounds for Weighted Proportionally Fair Bandwidth Sharing Policies. CoRR abs/1808.02120 (2018) - 2017
- [j9]Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk, X. Wu:
Optimal Energy Procurement for Geo-distributed Data Centers in Multi-timescale Electricity Markets. SIGMETRICS Perform. Evaluation Rev. 45(3): 217-223 (2017) - [j8]Weina Wang, Siva Theja Maguluri, R. Srikant, Lei Ying:
Heavy-Traffic Delay Insensitivity in Connection-Level Models of Data Transfer with Proportionally Fair Bandwidth Sharing. SIGMETRICS Perform. Evaluation Rev. 45(3): 232-245 (2017) - [j7]Siva Theja Maguluri, R. Srikant, Weina Wang:
The Drift Method for Heavy Traffic Limits, with Applications in Data Centers and Networks. SIGMETRICS Perform. Evaluation Rev. 45(3): 249 (2017) - [c7]Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Chai Wah Wu:
On optimal portfolios of dynamic resource allocations. ACC 2017: 2447-2452 - [c6]Chang-Heng Wang, Siva Theja Maguluri, Tara Javidi:
Heavy traffic queue length behavior in switches with reconfiguration delay. INFOCOM 2017: 1-9 - 2016
- [j6]Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Chai Wah Wu:
Risk-Based Dynamic Allocation of Computing Resources. SIGMETRICS Perform. Evaluation Rev. 44(2): 27-29 (2016) - [j5]Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk:
Delay-Optimal Scheduling for Some Input-Queued Switches. SIGMETRICS Perform. Evaluation Rev. 44(2): 45-47 (2016) - [c5]Siva Theja Maguluri, Sai Kiran Burle, R. Srikant:
Optimal Heavy-Traffic Queue Length Scaling in an Incompletely Saturated Switch. SIGMETRICS 2016: 13-24 - [i3]Siva Theja Maguluri, Sai Kiran Burle, R. Srikant:
Optimal Heavy-Traffic Queue Length Scaling in an Incompletely Saturated Switch. CoRR abs/1611.00745 (2016) - 2015
- [j4]Siva Theja Maguluri, R. Srikant:
Heavy-Traffic Behavior of the MaxWeight Algorithm in a Switch with Uniform Traffic. SIGMETRICS Perform. Evaluation Rev. 43(2): 72-74 (2015) - [i2]Siva Theja Maguluri, R. Srikant:
Heavy-Traffic Behavior of the MaxWeight Algorithm in a Switch with Uniform Traffic. CoRR abs/1503.05872 (2015) - 2014
- [b1]Siva Theja Maguluri:
Optimal resource allocation algorithms for cloud computing. University of Illinois Urbana-Champaign, USA, 2014 - [j3]Siva Theja Maguluri, R. Srikant, Lei Ying:
Heavy traffic optimal resource allocation algorithms for cloud computing clusters. Perform. Evaluation 81: 20-39 (2014) - [j2]Siva Theja Maguluri, Bruce E. Hajek, R. Srikant:
The Stability of Longest-Queue-First Scheduling With Variable Packet Sizes. IEEE Trans. Autom. Control. 59(8): 2295-2300 (2014) - [j1]Siva Theja Maguluri, R. Srikant:
Scheduling Jobs With Unknown Duration in Clouds. IEEE/ACM Trans. Netw. 22(6): 1938-1951 (2014) - 2013
- [c4]Siva Theja Maguluri, R. Srikant:
Scheduling jobs with unknown duration in clouds. INFOCOM 2013: 1887-1895 - 2012
- [c3]Siva Theja Maguluri, R. Srikant, Lei Ying:
Stochastic models of load balancing and scheduling in cloud computing clusters. INFOCOM 2012: 702-710 - [c2]Siva Theja Maguluri, R. Srikant, Lei Ying:
Heavy traffic optimal resource allocation algorithms for cloud computing clusters. ITC 2012: 1-8 - [i1]Siva Theja Maguluri, R. Srikant, Lei Ying:
Heavy Traffic Optimal Resource Allocation Algorithms for Cloud Computing Clusters. CoRR abs/1206.1264 (2012) - 2011
- [c1]Siva Theja Maguluri, Bruce E. Hajek, R. Srikant:
The stability of longest-queue-first scheduling with variable packet sizes. CDC/ECC 2011: 3770-3775
Coauthor Index
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last updated on 2024-10-23 21:22 CEST by the dblp team
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