An RPC/LWP System for Interconnecting Heterogeneous Systems. - Jan Sanislo; Mark S. Squillante (USENIX Winter, 1988)

Integrating Heterogeneous Local Mail Systems. - Mark S. Squillante; David Notkin (IEEE Softw., 1989)

Analysis of Contention in Multiprocessor Scheduling. - Randolph D. Nelson; Mark S. Squillante (Performance, 1990)

Analysis of Task Migration in Shared-Memory Multiprocessor Scheduling. - Mark S. Squillante; Randolph D. Nelson (SIGMETRICS, 1991)

Scheduling of Large Scientific Applications on Distributed Memory Multiprocessor Systems. - Vijay K. Naik; Sanjeev Setia; Mark S. Squillante (PPSC, 1993)

Performance analysis of job scheduling policies in parallel supercomputing environments. - Vijay K. Naik; Sanjeev Setia; Mark S. Squillante (SC, 1993)

Processor Scheduling on Multiprogrammed, Distributed Memory Parallel Computers. - Sanjeev Setia; Mark S. Squillante; Satish K. Tripathi (SIGMETRICS, 1993)

Using Processor-Cache Affinity Information in Shared-Memory Multiprocessor Scheduling. - Mark S. Squillante; Edward D. Lazowska (IEEE Trans. Parallel Distributed Syst., 1993)

Analysis of the Impact of Memory in Distributed Parallel Processing Systems. - Vinod G. J. Peris; Mark S. Squillante; Vijay K. Naik (SIGMETRICS, 1994)

Analysis of Processor Allocation in Multiprogrammed, Distributed-Memory Parallel Processing Systems. - Sanjeev Setia; Mark S. Squillante; Satish K. Tripathi (IEEE Trans. Parallel Distributed Syst., 1994)

On the Benefits and Limitations of Dynamic Partitioning in Parallel Computer Systems. - Mark S. Squillante (JSSPP, 1995)

Analytic Performance Modeling for a Spectrum of Multithreaded Processor Architectures. - Pradeep K. Dubey; Arvind Krishna; Mark S. Squillante (MASCOTS, 1995)

PET: A Parallel Performance Estimation Tool. - Kattamuri Ekanadham; Vijay K. Naik; Mark S. Squillante (PP, 1995)

Analysis of Cache Effects and Resource Scheduling in Distributed Parallel Processing Systems. - Vijay K. Naik; Mark S. Squillante (PP, 1995)

Time-Function Scheduling: A General Approach To Controllable Resource Management. - Liana L. Fong; Mark S. Squillante (SOSP, 1995)

Evaluation of Multithreaded Uniprocessors for Commercial Application Environments. - Richard J. Eickemeyer; Ross E. Johnson; Steven R. Kunkel; Mark S. Squillante; Shiafun Liu (ISCA, 1996)

Dynamic Partitioning in Different Distributed-Memory Environments. - Nayeem Islam; Andreas L. Prodromidis; Mark S. Squillante (JSSPP, 1996)

A Gang Scheduling Design for Multiprogrammed Parallel Computing Environments. - Fang Wang; Hubertus Franke; Marios C. Papaefthymiou; Pratap Pattnaik; Larry Rudolph; Mark S. Squillante (JSSPP, 1996)

Modeling and Analysis of Task Migration in Shared-Memory Computer Systems. - Randolph D. Nelson; Mark S. Squillante (MASCOTS, 1996)

An Analysis of Gang Scheduling for Multiprogrammed Parallel Computing Environments. - Mark S. Squillante; Fang Wang; Marios C. Papaefthymiou (SPAA, 1996)

Stochastic Analysis of Gang Scheduling in Parallel and Distributed Systems. - Mark S. Squillante; Fang Wang; Marios C. Papaefthymiou (Perform. Evaluation, 1996)

Extensible Resource Management for Cluster Computing. - Nayeem Islam; Andreas L. Prodromidis; Mark S. Squillante; Ajei S. Gopal; Liana L. Fong (ICDCS, 1997)

Evaluation of Multithreaded Processors and Thread-Switch Policies. - Richard J. Eickemeyer; Ross E. Johnson; Steven R. Kunkel; Beng-Hong Lim; Mark S. Squillante; Ching-Farn Eric Wu (ISHPC, 1997)

Performance Evaluation of Gang Scheduling for Parallel and Distributed Multiprogramming. - Fang Wang; Marios C. Papaefthymiou; Mark S. Squillante (JSSPP, 1997)

Analytic Models of Workload Behavior and Pipeline Performance. - Mark S. Squillante; David R. Kaeli; Himanshu Sinh (MASCOTS, 1997)

Extensible Resource Scheduling for Parallel Scientific Applications. - Nayeem Islam; Andreas L. Prodromidis; Mark S. Squillante; Ajei S. Gopal; Liana L. Fong (PP, 1997)

Optimal Scheduling of Coarse-Grained Parallel Scientific Applications. - Mark S. Squillante; Konstantinos P. Tsoukatos (PP, 1997)

Processor Allocation in Multiprogrammed Distributed-Memory Parallel Computer Systems. - Vijay K. Naik; Sanjeev Setia; Mark S. Squillante (J. Parallel Distributed Comput., 1997)

A General Methodology for Characterizing Access Patterns and Analyzing Web Server Performance. - Arun Iyengar; Edward A. MacNair; Mark S. Squillante; Li Zhang 002 (MASCOTS, 1998)

The Impact of I/O on Program Behavior and Parallel Scheduling. - Emilia Rosti; Giuseppe Serazzi; Evgenia Smirni; Mark S. Squillante (SIGMETRICS, 1998)

Optimizing Profits in the Broadcast Delivery of Multimedia Products. - Charu C. Aggarwal; Mark S. Squillante; Joel L. Wolf; Philip S. Yu; Jay Sethuraman (Multimedia Information Systems, 1999)

Optimal Stochastic Scheduling in Multiclass Parallel Queues. - Jay Sethuraman; Mark S. Squillante (SIGMETRICS, 1999)

Optimal Scheduling of Multiclass Parallel Machines. - Jay Sethuraman; Mark S. Squillante (SODA, 1999)

Analysis of Job Arrival Patterns and Parallel Scheduling Performance. - Mark S. Squillante; David D. Yao; Li Zhang 002 (Perform. Evaluation, 1999)

The impact of job memory requirements on gang-scheduling performance. - Sanjeev Setia; Mark S. Squillante; Vijay K. Naik (SIGMETRICS Perform. Evaluation Rev., 1999)

Special issue on the workshop on Mathematical performance modeling and analysis (MAMA '99). - Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 1999)

Web traffic modeling and Web server performance analysis. - Mark S. Squillante; David D. Yao; Li Zhang 002 (SIGMETRICS Perform. Evaluation Rev., 1999)

The impact of job arrival patterns on parallel scheduling. - Mark S. Squillante; David D. Yao; Li Zhang 002 (SIGMETRICS Perform. Evaluation Rev., 1999)

Analysis and Characterization of Large-Scale Web Server Access Patterns and Performance. - Arun Iyengar; Mark S. Squillante; Li Zhang 002 (World Wide Web, 1999)

Performance Evaluation in Industry: A Personal Perspective. - Stephen S. Lavenberg; Mark S. Squillante (Performance Evaluation, 2000)

Analysis of Large-Scale Distributed Information Systems. - Joseph L. Hellerstein; T. S. Jayram; Mark S. Squillante (MASCOTS, 2000)

Threshold-based priority policies for parallel-server systems with affinity scheduling. - Mark S. Squillante; Cathy H. Xia; David D. Yao; Li Zhang 002 (ACC, 2001)

High-Volume Web Servers: Traffic Patterns, Performance Implications and Resource Management. - Mark S. Squillante (MASCOTS, 2001)

On maximizing service-level-agreement profits. - Zhen Liu 001; Mark S. Squillante; Joel L. Wolf (SIGMETRICS Perform. Evaluation Rev., 2001)

Special issue on the workshop on MAthematical performance Modeling and Analysis (MAMA 2001). - Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2001)

Special issue on the workshop on MAthematical performance Modeling and Analysis (MAMA 2000). - Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2001)

Analysis of queues under correlated arrivals with applications to web server performance. - Mark S. Squillante; Baffelly Woo; Li Zhang 002 (SIGMETRICS Perform. Evaluation Rev., 2001)

Optimal scheduling in queueing network models of high-volume commercial web sites. - Mark S. Squillante; Cathy H. Xia; Li Zhang 002 (SIGMETRICS Perform. Evaluation Rev., 2001)

Scheduling Algorithms for the Broadcast Delivery of Digital Products. - Joel L. Wolf; Mark S. Squillante; John Turek; Philip S. Yu; Jay Sethuraman (IEEE Trans. Knowl. Data Eng., 2001)

Analysis of Caching Mechanisms from Sporting Event Web Sites. - Zhen Liu 001; Mark S. Squillante; Cathy H. Xia; S. Yu; Li Zhang 002; Naceur Malouch; Paul Dantzig (ASIAN, 2002)

Optimal control of resource allocation in e-business environments with strict quality-of-service performance guarantees. - Zhen Liu 001; Mark S. Squillante; Joel L. Wolf (CDC, 2002)

Analysis of measurement data from sporting event Web sites. - Zhen Liu 001; Mark S. Squillante; Cathy H. Xia; S.-Z. Yu; Li Zhang 002; Naceur Malouch; Paul Dantzig (GLOBECOM, 2002)

Workload Service Requirements Analysis: A Queueing Network Optimization Approach. - Li Zhang 002; Cathy H. Xia; Mark S. Squillante; W. Nathaniel Mills III (MASCOTS, 2002)

Modeling and analysis of dynamic coscheduling in parallel and distributed environments. - Mark S. Squillante; Yanyong Zhang; Anand Sivasubramaniam; Natarajan Gautam; Hubertus Franke; José E. Moreira (SIGMETRICS, 2002)

Optimal crawling strategies for web search engines. - Joel L. Wolf; Mark S. Squillante; Philip S. Yu; Jay Sethuraman; L. Ozsen (WWW, 2002)

Optimal scheduling in queuing network models of high-volume commercial web sites. - Mark S. Squillante; Cathy H. Xia; Li Zhang 002 (Perform. Evaluation, 2002)

Special issue on the workshop on mathematical performance modeling and analysis (MAMA 2002). - Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2002)

Traffic modeling and performance analysis of commercial web sites. - Cathy H. Xia; Zhen Liu 001; Mark S. Squillante; Li Zhang 002; Naceur Malouch (SIGMETRICS Perform. Evaluation Rev., 2002)

Models of Parallel Applications with Large Computation and I/O Requirements. - Emilia Rosti; Giuseppe Serazzi; Evgenia Smirni; Mark S. Squillante (IEEE Trans. Software Eng., 2002)

Optimal dynamic scheduling in a multiclass fluid model of Internet servers with transient overload. - Junxia Chang; Hayriye Ayhan; Jim G. Dai; Zhen Liu 001; Mark S. Squillante; Cathy H. Xia (CDC, 2003)

Analysis of Task Assignment with Cycle Stealing under Central Queue. - Mor Harchol-Balter; Cuihong Li; Takayuki Osogami; Alan Scheller-Wolf; Mark S. Squillante (ICDCS, 2003)

Cycle stealing under immediate dispatch task assignment. - Mor Harchol-Balter; Cuihong Li; Takayuki Osogami; Alan Scheller-Wolf; Mark S. Squillante (SPAA, 2003)

Revisiting correlations and scheduling in Web servers. - Soumyadip Ghosh; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2003)

Failure Data Analysis of a Large-Scale Heterogeneous Server Environment. - Ramendra K. Sahoo; Anand Sivasubramaniam; Mark S. Squillante; Yanyong Zhang (DSN, 2004)

Performance Implications of Failures in Large-Scale Cluster Scheduling. - Yanyong Zhang; Mark S. Squillante; Anand Sivasubramaniam; Ramendra K. Sahoo (JSSPP, 2004)

Analysis and control of correlated web server queues. - Soumyadip Ghosh; Mark S. Squillante (Comput. Commun., 2004)

Optimal probabilistic routing in distributed parallel queues. - Xin Guo 001; Yingdong Lu; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2004)

Guest editor's foreword. - Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2004)

Efficiently serving dynamic data at highly accessed web sites. - Jim Challenger; Paul Dantzig; Arun Iyengar; Mark S. Squillante; Li Zhang 002 (IEEE/ACM Trans. Netw., 2004)

Fundamentals of Dynamic Decentralized Optimization in Autonomic Computing Systems. - Tomasz Nowicki; Mark S. Squillante; Chai Wah Wu (Self-star Properties in Complex Information Systems, 2005)

Web traffic modeling at finer time scales and performance implications. - Cathy H. Xia; Zhen Liu 001; Mark S. Squillante; Li Zhang 002; Naceur Malouch (Perform. Evaluation, 2005)

Dynamic scheduling to optimize utility functions of sojourn time moments in queueing systems. - Yingdong Lu; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2005)

Special issue on the workshop on MAthematical performance Modeling And Analysis (MAMA 2005): guest editor's foreword. - Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2005)

Buffer Scalability of Wireless Networks. - Predrag R. Jelenkovic; Petar Momcilovic; Mark S. Squillante (INFOCOM, 2006)

Optimal scheduling in a multiserver stochastic network. - Mohsen Bayati; Mayank Sharma; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2006)

Foreword. - Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2006)

Optimal capacity planning in stochastic loss networks with time-varying workloads. - Sandeep Bhadra; Yingdong Lu; Mark S. Squillante (SIGMETRICS, 2007)

Optimal capacity planning in stochastic loss networks. - Yingdong Lu; Ana Radovanovic; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2007)

Stochastic analysis of multiserver systems. - Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2007)

Scalability of wireless networks. - Predrag R. Jelenkovic; Petar Momcilovic; Mark S. Squillante (IEEE/ACM Trans. Netw., 2007)

On throughput in linear wireless networks. - Petar Momcilovic; Mark S. Squillante (MobiHoc, 2008)

Revisiting stochastic loss networks: structures and algorithms. - Kyomin Jung; Yingdong Lu; Devavrat Shah; Mayank Sharma; Mark S. Squillante (SIGMETRICS, 2008)

Generalized parallel-server fork-join queues with dynamic task scheduling. - Mark S. Squillante; Yanyong Zhang; Anand Sivasubramaniam; Natarajan Gautam (Ann. Oper. Res., 2008)

Capacity optimization in feedforward Brownian networks. - A. B. Dieker; Soumyadip Ghosh; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2008)

On throughput in stochastic linear loss networks. - Petar Momcilovic; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2008)

A framework for combined bayesian analysis and optimization for services delivery. - Afsaneh Shirazi; Jianying Hu; Moninder Singh; Mark S. Squillante; Aleksandra Mojsilovic (SOLI, 2009)

Improved approximations for the Erlang loss model. - Jonatha Anselmi; Yingdong Lu; Mayank Sharma; Mark S. Squillante (Queueing Syst. Theory Appl., 2009)

Improved Approximations for Stochastic Loss Networks. - Jonatha Anselmi; Yingdong Lu; Mayank Sharma; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2009)

Performance management of IT services delivery. - Jianying Hu; Yingdong Lu; Aleksandra Mojsilovic; Mayank Sharma; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2010)

On approximations for multiple multidimensional stochastic knapsacks. - Yingdong Lu; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2010)

OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains. - 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 (Interfaces, 2011)

Linear loss networks. - Petar Momcilovic; Mark S. Squillante (Queueing Syst. Theory Appl., 2011)

Massive-Scale Analytics. - Amol Ghoting; John A. Gunnels; Mark S. Squillante (Encyclopedia of Parallel Computing, 2011)

Affinity Scheduling. - Mark S. Squillante (Encyclopedia of Parallel Computing, 2011)

Sales-force performance analytics and optimization. - Moritz Baier; Jorge E. Carballo; Alice J. Chang; Yingdong Lu; Aleksandra Mojsilovic; M. Jonathan Richard; Moninder Singh; Mark S. Squillante; Kush R. Varshney (IBM J. Res. Dev., 2012)

Exact-Order Asymptotic Analysis for Closed Queueing Networks. - David K. George; Cathy H. Xia; Mark S. Squillante (J. Appl. Probab., 2012)

Editorial introduction. - Paul Barford; Sem C. Borst; Mark S. Squillante (Queueing Syst. Theory Appl., 2012)

Prescriptive Analytics for Allocating Sales Teams to Opportunities. - Ban Kawas; Mark S. Squillante; Dharmashankar Subramanian; Kush R. Varshney (ICDM Workshops, 2013)

A two-phase approach for stochastic optimization of complex business processes. - Soumyadip Ghosh; Aliza R. Heching; Mark S. Squillante (WSC, 2013)

Trends and outlook for the massive-scale analytics stack. - Amol Ghoting; John A. Gunnels; Prabhanjan Kambadur; Edwin P. D. Pednault; Mark S. Squillante (IBM J. Res. Dev., 2013)

Stochastic optimal control for a general class of dynamic resource allocation problems. - Xuefeng Gao; Yingdong Lu; Mayank Sharma; Mark S. Squillante; J. W. Bosman (SIGMETRICS Perform. Evaluation Rev., 2013)

Rewards, costs and flexibility in dynamic resource allocation: a stochastic optimal control approach. - Xuefeng Gao; Yingdong Lu; Mayank Sharma; Mark S. Squillante; J. W. Bosman (SIGMETRICS Perform. Evaluation Rev., 2013)

Asymptotics of a class of resource planning problems. - Yingdong Lu; Mark S. Squillante; David D. Yao (SIGMETRICS Perform. Evaluation Rev., 2013)

A Hierarchical Approach for the Resource Management of Very Large Cloud Platforms. - Bernardetta Addis; Danilo Ardagna; Barbara Panicucci; Mark S. Squillante; Li Zhang 002 (IEEE Trans. Dependable Secur. Comput., 2013)

Workforce management: Risk-based financial planning and capacity provisioning. - Yingdong Lu; Mayank Sharma; Mark S. Squillante (IBM J. Res. Dev., 2014)

Optimal capacity management and planning in services delivery centers. - Aliza R. Heching; Mark S. Squillante (Perform. Evaluation, 2014)

Asymptotic optimality of constant capacity allocation policies for dynamic resource planning. - David A. Goldberg 001; Dimitriy A. Katz; Yingdong Lu; Mayank Sharma; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2014)

Improving the scalability of search in networks through multiple random walks. - Mark S. Squillante; Don Towsley; Sean Kenneth Barker (SIGMETRICS Perform. Evaluation Rev., 2014)

Efficient Content Delivery in the Presence of Impatient Jobs. - Maialen Larrañaga; Onno J. Boxma; R. Núñez Queija; Mark S. Squillante (ITC, 2015)

Special Issue on Performance and Resource Management in Big Data Applications. - Danilo Ardagna; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2015)

On the Control of Epidemic-Like Stochastic Processes with Time-Varying Behavior? - Yingdong Lu; Mark S. Squillante; Chai Wah Wu; Bo Zhang (SIGMETRICS Perform. Evaluation Rev., 2015)

Accelerating splitting algorithms for power grid reliability estimation. - Wander S. Wadman; Mark S. Squillante; Soumyadip Ghosh (WSC, 2016)

Bi-level stochastic approximation for joint optimization of hydroelectric dispatch and spot-market operations. - Ebisa D. Wollega; Soumyadip Ghosh; Mark S. Squillante (WSC, 2016)

Asymptotic Optimality of Constant-Order Policies for Lost Sales Inventory Models with Large Lead Times. - David A. Goldberg 001; Dmitriy A. Katz-Rogozhnikov; Yingdong Lu; Mayank Sharma; Mark S. Squillante (Math. Oper. Res., 2016)

Delay-Optimal Scheduling for Some Input-Queued Switches. - Yingdong Lu; Siva Theja Maguluri; Mark S. Squillante; Tonghoon Suk (SIGMETRICS Perform. Evaluation Rev., 2016)

Risk-Based Dynamic Allocation of Computing Resources. - Yingdong Lu; Siva Theja Maguluri; Mark S. Squillante; Chai Wah Wu (SIGMETRICS Perform. Evaluation Rev., 2016)

On optimal portfolios of dynamic resource allocations. - Yingdong Lu; Siva Theja Maguluri; Mark S. Squillante; Chai Wah Wu (ACC, 2017)

Optimal Resource Capacity Management for Stochastic Networks. - A. B. Dieker; Soumyadip Ghosh; Mark S. Squillante (Oper. Res., 2017)

Optimal Energy Procurement for Geo-distributed Data Centers in Multi-timescale Electricity Markets. - Yingdong Lu; Siva Theja Maguluri; Mark S. Squillante; Tonghoon Suk; X. Wu (SIGMETRICS Perform. Evaluation Rev., 2017)

Nearly Completely Decomposable Epidemic-Like Stochastic Processes with Time-Varying Behavior. - Yingdong Lu; Mark S. Squillante; Chai Wah Wu (SIGMETRICS Perform. Evaluation Rev., 2017)

Epidemic-Like Stochastic Processes with Time-Varying Behavior: Structural Properties and Asymptotic Limits. - Yingdong Lu; Mark S. Squillante; Chai Wah Wu (SIGMETRICS Perform. Evaluation Rev., 2017)

Optimal Dynamic Control for Input-Queued Switches in Heavy Traffic. - Yingdong Lu; Siva Theja Maguluri; Mark S. Squillante; Tonghoon Suk (ACC, 2018)

Control of Time-Varying Epidemic-Like Stochastic Processes and Their Mean-Field Limits. - Yingdong Lu; Mark S. Squillante; Chai Wah Wu (ACC, 2018)

A General Family of Robust Stochastic Operators for Reinforcement Learning. - Yingdong Lu; Mark S. Squillante; Chai Wah Wu (CoRR, 2018)

Efficient Stochastic Gradient Descent for Distributionally Robust Learning. - Soumyadip Ghosh; Mark S. Squillante; Ebisa D. Wollega (CoRR, 2018)

PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach. - Tsui-Wei Weng; Pin-Yu Chen; Lam M. Nguyen; Mark S. Squillante; Ivan V. Oseledets; Luca Daniel (CoRR, 2018)

Max-weight scheduling across multiple timescales. - Mark S. Squillante; Peter M. van de Ven (Oper. Res. Lett., 2018)

On Min-Max Optimization Over Large Data Sets. - Soumyadip Ghosh; Mark S. Squillante; Ebisa D. Wollega (SIGMETRICS Perform. Evaluation Rev., 2018)

Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2018). - Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2018)

PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach. - Lily Weng; Pin-Yu Chen; Lam M. Nguyen; Mark S. Squillante; Akhilan Boopathy; Ivan V. Oseledets; Luca Daniel (ICML, 2019)

A Family of Robust Stochastic Operators for Reinforcement Learning. - Yingdong Lu; Mark S. Squillante; Chai Wah Wu (NeurIPS, 2019)

Optimisation of stochastic networks with blocking: a functional-form approach. - Brendan Patch; Mark S. Squillante; Peter M. van de Ven (CoRR, 2019)

A Control-Model-Based Approach for Reinforcement Learning. - Yingdong Lu; Mark S. Squillante; Chai Wah Wu (CoRR, 2019)

Revisiting Stochastic Loss Networks: Structures and Approximations. - Kyomin Jung; Yingdong Lu; Devavrat Shah; Mayank Sharma; Mark S. Squillante (Math. Oper. Res., 2019)

Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2019). - Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2019)

Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality. - Nian Si; Jose H. Blanchet; Soumyadip Ghosh; Mark S. Squillante (NeurIPS, 2020)

Unbiased Gradient Estimation for Distributionally Robust Learning. - Soumyadip Ghosh; Mark S. Squillante (CoRR, 2020)

Optimal Delay-Cost Scheduling Control in Fluid Models of General nxn Input-Queued Switches. - Yingdong Lu; Mark S. Squillante; Tonghoon Suk (SIGMETRICS Perform. Evaluation Rev., 2020)

Optimal Control in Fluid Models of nxn Input-Queued Switches under Linear Fluid-Flow Costs. - Yingdong Lu; Mark S. Squillante; Tonghoon Suk (SIGMETRICS Perform. Evaluation Rev., 2020)

Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2020). - Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2020)

Solving sparse linear systems with approximate inverse preconditioners on analog devices. - Vasileios Kalantzis; Anshul Gupta; Lior Horesh; Tomasz Nowicki; Mark S. Squillante; Chai Wah Wu; Tayfun Gokmen; Haim Avron (HPEC, 2021)

Efficient Generalization with Distributionally Robust Learning. - Soumyadip Ghosh; Mark S. Squillante; Ebisa D. Wollega (NeurIPS, 2021)

On Solving Distributionally Robust Optimization Formulations Efficiently. - Soumyadip Ghosh; Mark S. Squillante; Ebisa D. Wollega (WSC, 2021)

Solving sparse linear systems with approximate inverse preconditioners on analog devices. - Vasileios Kalantzis; Anshul Gupta; Lior Horesh; Tomasz Nowicki; Mark S. Squillante; Chai Wah Wu (CoRR, 2021)

Quantum Topological Data Analysis with Linear Depth and Exponential Speedup. - Shashanka Ubaru; Ismail Yunus Akhalwaya; Mark S. Squillante; Kenneth L. Clarkson; Lior Horesh (CoRR, 2021)

A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality. - Xuhui Zhang; José H. Blanchet; Soumyadip Ghosh; Mark S. Squillante (AISTATS, 2022)

Decentralized Bilevel Optimization for Personalized Client Learning. - Songtao Lu; Xiaodong Cui; Mark S. Squillante; Brian Kingsbury; Lior Horesh (ICASSP, 2022)

A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization. - Songtao Lu; Siliang Zeng; Xiaodong Cui; Mark S. Squillante; Lior Horesh; Brian Kingsbury; Jia Liu 002; Mingyi Hong 001 (NeurIPS, 2022)

Distributionally Robust Optimization for Input Model Uncertainty in Simulation-Based Decision Making. - Soumyadip Ghosh; Mark S. Squillante (WSC, 2022)

Towards Quantum Advantage on Noisy Quantum Computers. - Ismail Yunus Akhalwaya; Shashanka Ubaru; Kenneth L. Clarkson; Mark S. Squillante; Vishnu Jejjala; Yang-Hui He; Kugendran Naidoo; Vasileios Kalantzis; Lior Horesh (CoRR, 2022)

On the quantum entanglement of random walks and queueing systems. - Mark S. Squillante (Queueing Syst. Theory Appl., 2022)

Unbiased Gradient Estimation for Robust Optimization. - Soumyadip Ghosh; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2022)

Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2021). - Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2022)

On Heavy-Traffic Optimal Scaling of c-Weighted MaxWeight Scheduling in Input-Queued Switches. - Yingdong Lu; Siva Theja Maguluri; Mark S. Squillante; Tonghoon Suk (IEEE Trans. Autom. Control., 2022)

On Quantum Algorithms for Random Walks in the Nonnegative Quarter Plane. - Vasileios Kalantzis; Mark S. Squillante; Shashanka Ubaru; Lior Horesh (SIGMETRICS Perform. Evaluation Rev., 2022)

Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2022). - Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2022)

Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning. - Vasileios Kalantzis; Mark S. Squillante; Chai Wah Wu; Anshul Gupta; Shashanka Ubaru; Tayfun Gokmen; Lior Horesh (HPEC, 2023)

On the control of density-dependent stochastic population processes with time-varying behavior. - Yingdong Lu; Mark S. Squillante; Chai Wah Wu (Autom., 2023)

Towards a Unification of Logic and Information Theory. - Luis A. Lastras; Barry M. Trager; Jonathan Lenchner; Wojciech Szpankowski; Chai Wah Wu; Mark S. Squillante; Alexander Gray 001 (CoRR, 2023)

Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes. - Peizhong Ju; Sen Lin 001; Mark S. Squillante; Yingbin Liang; Ness B. Shroff (CoRR, 2023)

Stable iterative refinement algorithms for solving linear systems. - Chai Wah Wu; Mark S. Squillante; Vasileios Kalantzis; Lior Horesh (CoRR, 2023)

Obtaining Explainable Classification Models using Distributionally Robust Optimization. - Sanjeeb Dash; Soumyadip Ghosh; Joao Goncalves; Mark S. Squillante (CoRR, 2023)

Markov Decision Process Framework for Control-Based Reinforcement Learning. - Yingdong Lu; Mark S. Squillante; Chai Wah Wu (SIGMETRICS Perform. Evaluation Rev., 2023)

Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2023). - Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2023)

Topological data analysis on noisy quantum computers. - Ismail Yunus Akhalwaya; Shashanka Ubaru; Kenneth L. Clarkson; Mark S. Squillante; Vishnu Jejjala; Yang-Hui He; Kugendran Naidoo; Vasileios Kalantzis; Lior Horesh (ICLR, 2024)

Multi-Function Multi-Way Analog Technology for Sustainable Machine Intelligence Computation. - Vassilis Kalantzis; Mark S. Squillante; Shashanka Ubaru; Tayfun Gokmen; Chai Wah Wu; Anshul Gupta; Haim Avron; Tomasz Nowicki; Malte J. Rasch; O. Murat Onen; Vanessa López-Marrero; Effendi Leobandung; et al. (CoRR, 2024)

A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms. - Weiqin Chen 003; Mark S. Squillante; Chai Wah Wu; Santiago Paternain (CoRR, 2024)

On Quantum Algorithms for Efficient Solutions of General Classes of Structured Markov Processes. - Vasileios Kalantzis; Mark S. Squillante; Shashanka Ubaru (SIGMETRICS Perform. Evaluation Rev., 2024)

Special Issue on The Workshop on MAthematical performance Modeling and Analysis (MAMA 2024). - Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2024)

Breaking through the classical Shannon entropy limit: A new frontier through logical semantics. - Luis A. Lastras; Barry M. Trager; Jonathan Lenchner; Wojciech Szpankowski; Chai Wah Wu; Mark S. Squillante; Alexander Gray 001 (CoRR, 2025)

On Mixed-Precision Iterative Methods and Analysis for Nearly Completely Decomposable Markov Processes. - Vasileios Kalantzis; Mark S. Squillante; Chai Wah Wu (CoRR, 2025)

Stable Iterative Solvers for Ill-conditioned Linear Systems. - Vasileios Kalantzis; Mark S. Squillante; Chai Wah Wu (CoRR, 2025)

Stable iterative refinement for solving linear systems with inaccurate computation. - Chai Wah Wu; Mark S. Squillante; Vassilis Kalantzis; Lior Horesh (J. Comput. Appl. Math., 2026)