Mark S. Squillante

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 61

Top Venues

SIGMETRICS Perform. Evaluation Rev.

CoRR

WSC

NeurIPS

Publications

Weiqin Chen, Mark S. Squillante, Chai Wah Wu, Santiago Paternain
A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms. CoRR (2024)
Vasileios Kalantzis, Mark S. Squillante, Shashanka Ubaru
On Quantum Algorithms for Efficient Solutions of General Classes of Structured Markov Processes. CoRR (2024)
Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
Topological data analysis on noisy quantum computers. ICLR (2024)
Vassilis Kalantzis, Mark S. Squillante, Shashanka Ubaru, Tayfun Gokmen, Chai Wah Wu, Anshul Gupta, Haim Avron, Tomasz Nowicki, Malte J. Rasch, Murat Onen, Vanessa López-Marrero, Effendi Leobandung, Yasuteru Kohda, Wilfried Haensch, Lior Horesh
Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation. CoRR (2024)
Chai Wah Wu, Mark S. Squillante, Vasileios Kalantzis, Lior Horesh
Stable iterative refinement algorithms for solving linear systems. CoRR (2023)
Luis A. Lastras, Barry M. Trager, Jonathan Lenchner, Wojtek Szpankowski, Chai Wah Wu, Mark S. Squillante, Alex Gray
Towards a Unification of Logic and Information Theory. CoRR (2023)
Peizhong Ju, Sen Lin, Mark S. Squillante, Yingbin Liang, Ness B. Shroff
Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes. CoRR (2023)
Sanjeeb Dash, Soumyadip Ghosh, Joao Goncalves, Mark S. Squillante
Obtaining Explainable Classification Models using Distributionally Robust Optimization. CoRR (2023)
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
On the control of density-dependent stochastic population processes with time-varying behavior. Autom. 153 (2023)
Mark S. Squillante
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2023). SIGMETRICS Perform. Evaluation Rev. 51 (2) (2023)
Vasileios Kalantzis, Mark S. Squillante, Chai Wah Wu, Anshul Gupta, Shashanka Ubaru, Tayfun Gokmen, Lior Horesh
Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning. HPEC (2023)
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
Markov Decision Process Framework for Control-Based Reinforcement Learning. SIGMETRICS Perform. Evaluation Rev. 51 (2) (2023)
Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh
Towards Quantum Advantage on Noisy Quantum Computers. CoRR (2022)
Xuhui Zhang, José H. Blanchet, Soumyadip Ghosh, Mark S. Squillante
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality. AISTATS (2022)
Xuhui Zhang, Jose H. Blanchet, Soumyadip Ghosh, Mark S. Squillante
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality. CoRR (2022)
Mark S. Squillante
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2022). SIGMETRICS Perform. Evaluation Rev. 50 (2) (2022)
Soumyadip Ghosh, Mark S. Squillante
Unbiased Gradient Estimation for Robust Optimization. SIGMETRICS Perform. Evaluation Rev. 49 (2) (2022)
Mark S. Squillante
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2021). SIGMETRICS Perform. Evaluation Rev. 49 (2) (2022)
Soumyadip Ghosh, Mark S. Squillante
Distributionally Robust Optimization for Input Model Uncertainty in Simulation-Based Decision Making. WSC (2022)
Vasileios Kalantzis, Mark S. Squillante, Shashanka Ubaru, Lior Horesh
On Quantum Algorithms for Random Walks in the Nonnegative Quarter Plane. SIGMETRICS Perform. Evaluation Rev. 50 (2) (2022)
Songtao Lu, Xiaodong Cui, Mark S. Squillante, Brian Kingsbury, Lior Horesh
Decentralized Bilevel Optimization for Personalized Client Learning. ICASSP (2022)
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) (2022)
Songtao Lu, Siliang Zeng, Xiaodong Cui, Mark S. Squillante, Lior Horesh, Brian Kingsbury, Jia Liu, Mingyi Hong
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization. NeurIPS (2022)
Mark S. Squillante
On the quantum entanglement of random walks and queueing systems. Queueing Syst. Theory Appl. 100 (3-4) (2022)
Shashanka Ubaru, Ismail Yunus Akhalwaya, Mark S. Squillante, Kenneth L. Clarkson, Lior Horesh
Quantum Topological Data Analysis with Linear Depth and Exponential Speedup. CoRR (2021)
Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega
Efficient Generalization with Distributionally Robust Learning. NeurIPS (2021)
Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu
Solving sparse linear systems with approximate inverse preconditioners on analog devices. CoRR (2021)
Vasileios Kalantzis, Anshul Gupta, Lior Horesh, Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu, Tayfun Gokmen, Haim Avron
Solving sparse linear systems with approximate inverse preconditioners on analog devices. HPEC (2021)
Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega
On Solving Distributionally Robust Optimization Formulations Efficiently. WSC (2021)
Yingdong Lu, Mark S. Squillante, Tonghoon Suk
Optimal Delay-Cost Scheduling Control in Fluid Models of General nxn Input-Queued Switches. SIGMETRICS Perform. Evaluation Rev. 48 (2) (2020)
Soumyadip Ghosh, Mark S. Squillante
Unbiased Gradient Estimation for Distributionally Robust Learning. CoRR (2020)
Mark S. Squillante
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2020). SIGMETRICS Perform. Evaluation Rev. 48 (2) (2020)
Yingdong Lu, Mark S. Squillante, Tonghoon Suk
Optimal Control in Fluid Models of nxn Input-Queued Switches under Linear Fluid-Flow Costs. SIGMETRICS Perform. Evaluation Rev. 48 (3) (2020)
Nian Si, Jose H. Blanchet, Soumyadip Ghosh, Mark S. Squillante
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality. NeurIPS (2020)
Lily Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Akhilan Boopathy, Ivan V. Oseledets, Luca Daniel
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach. ICML (2019)
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
A Control-Model-Based Approach for Reinforcement Learning. CoRR (2019)
Mark S. Squillante
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2019). SIGMETRICS Perform. Evaluation Rev. 47 (2) (2019)
Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, Mark S. Squillante
Revisiting Stochastic Loss Networks: Structures and Approximations. Math. Oper. Res. 44 (3) (2019)
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
A Family of Robust Stochastic Operators for Reinforcement Learning. NeurIPS (2019)
Brendan Patch, Mark S. Squillante, Peter M. van de Ven
Optimisation of stochastic networks with blocking: a functional-form approach. CoRR (2019)
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
A General Family of Robust Stochastic Operators for Reinforcement Learning. CoRR (2018)
Mark S. Squillante, Peter M. van de Ven
Max-weight scheduling across multiple timescales. Oper. Res. Lett. 46 (2) (2018)
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk
Optimal Dynamic Control for Input-Queued Switches in Heavy Traffic. ACC (2018)
Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega
On Min-Max Optimization Over Large Data Sets. SIGMETRICS Perform. Evaluation Rev. 46 (2) (2018)
Soumyadip Ghosh, Mark S. Squillante, Ebisa D. Wollega
Efficient Stochastic Gradient Descent for Distributionally Robust Learning. CoRR (2018)
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
Control of Time-Varying Epidemic-Like Stochastic Processes and Their Mean-Field Limits. ACC (2018)
Tsui-Wei Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Ivan V. Oseledets, Luca Daniel
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach. CoRR (2018)
Mark S. Squillante
Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2018). SIGMETRICS Perform. Evaluation Rev. 46 (2) (2018)
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) (2017)
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
Epidemic-Like Stochastic Processes with Time-Varying Behavior: Structural Properties and Asymptotic Limits. SIGMETRICS Perform. Evaluation Rev. 45 (3) (2017)
Yingdong Lu, Mark S. Squillante, Chai Wah Wu
Nearly Completely Decomposable Epidemic-Like Stochastic Processes with Time-Varying Behavior. SIGMETRICS Perform. Evaluation Rev. 45 (2) (2017)
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Chai Wah Wu
On optimal portfolios of dynamic resource allocations. ACC (2017)
A. B. Dieker, Soumyadip Ghosh, Mark S. Squillante
Optimal Resource Capacity Management for Stochastic Networks. Oper. Res. 65 (1) (2017)
Wander S. Wadman, Mark S. Squillante, Soumyadip Ghosh
Accelerating splitting algorithms for power grid reliability estimation. WSC (2016)
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Tonghoon Suk
Delay-Optimal Scheduling for Some Input-Queued Switches. SIGMETRICS Perform. Evaluation Rev. 44 (2) (2016)
Ebisa D. Wollega, Soumyadip Ghosh, Mark S. Squillante
Bi-level stochastic approximation for joint optimization of hydroelectric dispatch and spot-market operations. WSC (2016)
Yingdong Lu, Siva Theja Maguluri, Mark S. Squillante, Chai Wah Wu
Risk-Based Dynamic Allocation of Computing Resources. SIGMETRICS Perform. Evaluation Rev. 44 (2) (2016)
David A. Goldberg, Dmitriy A. Katz-Rogozhnikov, Yingdong Lu, Mayank Sharma, Mark S. Squillante
Asymptotic Optimality of Constant-Order Policies for Lost Sales Inventory Models with Large Lead Times. Math. Oper. Res. 41 (3) (2016)
Yingdong Lu, Mark S. Squillante, Chai Wah Wu, Bo Zhang
On the Control of Epidemic-Like Stochastic Processes with Time-Varying Behavior? SIGMETRICS Perform. Evaluation Rev. 43 (2) (2015)
Danilo Ardagna, Mark S. Squillante
Special Issue on Performance and Resource Management in Big Data Applications. SIGMETRICS Perform. Evaluation Rev. 42 (4) (2015)
Maialen Larrañaga, Onno J. Boxma, R. Núñez Queija, Mark S. Squillante
Efficient Content Delivery in the Presence of Impatient Jobs. International Teletraffic Congress (2015)
David A. Goldberg, Dimitriy A. Katz, Yingdong Lu, Mayank Sharma, Mark S. Squillante
Asymptotic optimality of constant capacity allocation policies for dynamic resource planning. SIGMETRICS Perform. Evaluation Rev. 42 (2) (2014)
Yingdong Lu, Mayank Sharma, Mark S. Squillante
Workforce management: Risk-based financial planning and capacity provisioning. IBM J. Res. Dev. 58 (4) (2014)
Aliza R. Heching, Mark S. Squillante
Optimal capacity management and planning in services delivery centers. Perform. Evaluation 80 (2014)
Mark S. Squillante, Don Towsley, Sean Kenneth Barker
Improving the scalability of search in networks through multiple random walks. SIGMETRICS Perform. Evaluation Rev. 42 (2) (2014)
Amol Ghoting, John A. Gunnels, Prabhanjan Kambadur, Edwin P. D. Pednault, Mark S. Squillante
Trends and outlook for the massive-scale analytics stack. IBM J. Res. Dev. 57 (3/4) (2013)
Yingdong Lu, Mark S. Squillante, David D. Yao
Asymptotics of a class of resource planning problems. SIGMETRICS Perform. Evaluation Rev. 41 (3) (2013)
Bernardetta Addis, Danilo Ardagna, Barbara Panicucci, Mark S. Squillante, Li Zhang
A Hierarchical Approach for the Resource Management of Very Large Cloud Platforms. IEEE Trans. Dependable Secur. Comput. 10 (5) (2013)
X. Gao, Yingdong Lu, Mayank Sharma, Mark S. Squillante, J. W. Bosman
Stochastic optimal control for a general class of dynamic resource allocation problems. SIGMETRICS Perform. Evaluation Rev. 41 (2) (2013)
Ban Kawas, Mark S. Squillante, Dharmashankar Subramanian, Kush R. Varshney
Prescriptive Analytics for Allocating Sales Teams to Opportunities. ICDM Workshops (2013)
X. Gao, Yingdong Lu, Mayank Sharma, Mark S. Squillante, J. W. Bosman
Rewards, costs and flexibility in dynamic resource allocation: a stochastic optimal control approach. SIGMETRICS Perform. Evaluation Rev. 41 (3) (2013)
Soumyadip Ghosh, Aliza R. Heching, Mark S. Squillante
A two-phase approach for stochastic optimization of complex business processes. WSC (2013)
Moritz Baier, Jorge E. Carballo, Alice J. Chang, Yingdong Lu, Aleksandra Mojsilovic, M. Jonathan Richard, Moninder Singh, Mark S. Squillante, Kush R. Varshney
Sales-force performance analytics and optimization. IBM J. Res. Dev. 56 (6) (2012)
Paul Barford, Sem C. Borst, Mark S. Squillante
Editorial introduction. Queueing Syst. Theory Appl. 71 (3) (2012)
David K. George, Cathy H. Xia, Mark S. Squillante
Exact-Order Asymptotic Analysis for Closed Queueing Networks. J. Appl. Probab. 49 (2) (2012)
Petar Momcilovic, Mark S. Squillante
Linear loss networks. Queueing Syst. Theory Appl. 68 (2) (2011)
Heng Cao, Jianying Hu, Chen Jiang, Tarun Kumar, Ta-Hsin Li, Yang Liu, Yingdong Lu, Shilpa Mahatma, Aleksandra Mojsilovic, Mayank Sharma, Mark S. Squillante, Yichong Yu
OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains. Interfaces 41 (5) (2011)
Jianying Hu, Yingdong Lu, Aleksandra Mojsilovic, Mayank Sharma, Mark S. Squillante
Performance management of IT services delivery. SIGMETRICS Perform. Evaluation Rev. 37 (4) (2010)
Yingdong Lu, Mark S. Squillante
On approximations for multiple multidimensional stochastic knapsacks. SIGMETRICS Perform. Evaluation Rev. 38 (2) (2010)
Afsaneh Shirazi, Jianying Hu, Moninder Singh, Mark S. Squillante, Aleksandra Mojsilovic
A framework for combined bayesian analysis and optimization for services delivery. SOLI (2009)
Jonatha Anselmi, Yingdong Lu, Mayank Sharma, Mark S. Squillante
Improved Approximations for Stochastic Loss Networks. SIGMETRICS Perform. Evaluation Rev. 37 (2) (2009)
Jonatha Anselmi, Yingdong Lu, Mayank Sharma, Mark S. Squillante
Improved approximations for the Erlang loss model. Queueing Syst. Theory Appl. 63 (1-4) (2009)
Mark S. Squillante, Yanyong Zhang, Anand Sivasubramaniam, Natarajan Gautam
Generalized parallel-server fork-join queues with dynamic task scheduling. Ann. Oper. Res. 160 (1) (2008)
Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, Mark S. Squillante
Revisiting stochastic loss networks: structures and algorithms. SIGMETRICS (2008)
A. B. Dieker, Soumyadip Ghosh, Mark S. Squillante
Capacity optimization in feedforward Brownian networks. SIGMETRICS Perform. Evaluation Rev. 36 (2) (2008)
Petar Momcilovic, Mark S. Squillante
On throughput in stochastic linear loss networks. SIGMETRICS Perform. Evaluation Rev. 36 (2) (2008)
Petar Momcilovic, Mark S. Squillante
On throughput in linear wireless networks. MobiHoc (2008)
Mark S. Squillante
Foreword. SIGMETRICS Perform. Evaluation Rev. 35 (2) (2007)
Predrag R. Jelenkovic, Petar Momcilovic, Mark S. Squillante
Scalability of wireless networks. IEEE/ACM Trans. Netw. 15 (2) (2007)
Yingdong Lu, Ana Radovanovic, Mark S. Squillante
Optimal capacity planning in stochastic loss networks. SIGMETRICS Perform. Evaluation Rev. 35 (2) (2007)
Sandeep Bhadra, Yingdong Lu, Mark S. Squillante
Optimal capacity planning in stochastic loss networks with time-varying workloads. SIGMETRICS (2007)
Mark S. Squillante
Stochastic analysis of multiserver systems. SIGMETRICS Perform. Evaluation Rev. 34 (4) (2007)
Mark S. Squillante
Foreword. SIGMETRICS Perform. Evaluation Rev. 34 (3) (2006)
Predrag R. Jelenkovic, Petar Momcilovic, Mark S. Squillante
Buffer Scalability of Wireless Networks. INFOCOM (2006)
Mohsen Bayati, Mayank Sharma, Mark S. Squillante
Optimal scheduling in a multiserver stochastic network. SIGMETRICS Perform. Evaluation Rev. 34 (3) (2006)
Yingdong Lu, Mark S. Squillante
Dynamic scheduling to optimize utility functions of sojourn time moments in queueing systems. SIGMETRICS Perform. Evaluation Rev. 33 (2) (2005)
Cathy H. Xia, Zhen Liu, Mark S. Squillante, Li Zhang, Naceur Malouch
Web traffic modeling at finer time scales and performance implications. Perform. Evaluation 61 (2-3) (2005)
Tomasz Nowicki, Mark S. Squillante, Chai Wah Wu
Fundamentals of Dynamic Decentralized Optimization in Autonomic Computing Systems. Self-star Properties in Complex Information Systems (2005)
Mark S. Squillante
Special issue on the workshop on MAthematical performance Modeling And Analysis (MAMA 2005): guest editor's foreword. SIGMETRICS Perform. Evaluation Rev. 33 (2) (2005)
Soumyadip Ghosh, Mark S. Squillante
Analysis and control of correlated web server queues. Comput. Commun. 27 (18) (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mark S. Squillante