Adam Wierman

Orcid: 0000-0002-5923-0199

Affiliations:
  • California Institute of Technology, Pasadena, CA, USA


According to our database1, Adam Wierman authored at least 255 papers between 2002 and 2024.

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Bibliography

2024
Online Learning for Robust Voltage Control Under Uncertain Grid Topology.
IEEE Trans. Smart Grid, September, 2024

Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control.
IEEE Trans. Control. Netw. Syst., September, 2024

Minimization Fractional Prophet Inequalities for Sequential Procurement.
Math. Oper. Res., 2024

Black-Box Acceleration of Monotone Convex Program Solvers.
Oper. Res., 2024

End-to-End Conformal Calibration for Optimization Under Uncertainty.
CoRR, 2024

Can We Break the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning?
CoRR, 2024

Last-Iterate Convergence of Payoff-Based Independent Learning in Zero-Sum Stochastic Games.
CoRR, 2024

CarbonClipper: Optimal Algorithms for Carbon-Aware Spatiotemporal Workload Management.
CoRR, 2024

Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation.
CoRR, 2024

Approximate Global Convergence of Independent Learning in Multi-Agent Systems.
CoRR, 2024

Carbon Connect: An Ecosystem for Sustainable Computing.
CoRR, 2024

Risk-Sensitive Online Algorithms.
CoRR, 2024

Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms.
Proceedings of the Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2024

Two-Timescale Q-Learning with Function Approximation in Zero-Sum Stochastic Games.
Proceedings of the 25th ACM Conference on Economics and Computation, 2024

SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming.
Proceedings of the ACM SIGCOMM 2024 Conference, 2024

Distributionally Robust Constrained Reinforcement Learning under Strong Duality.
RLJ, 2024

Combining model-based controller and ML advice via convex reparameterization.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Model-Free Robust ϕ-Divergence Reinforcement Learning Using Both Offline and Online Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Chasing Convex Functions with Long-term Constraints.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Online Algorithms with Uncertainty-Quantified Predictions.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Online Policy Optimization in Unknown Nonlinear Systems.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

Risk-Sensitive Online Algorithms (Extended Abstract).
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting.
Proc. ACM Meas. Anal. Comput. Syst., December, 2023

Communication-aware scheduling of precedence-constrained tasks on related machines.
Oper. Res. Lett., November, 2023

Trading Throughput for Freshness: Freshness-aware Traffic Engineering and In-Network Freshness Control.
ACM Trans. Model. Perform. Evaluation Comput. Syst., June, 2023

Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems.
SIAM J. Control. Optim., June, 2023

An Energy Sharing Mechanism Considering Network Constraints and Market Power Limitation.
IEEE Trans. Smart Grid, March, 2023

Adaptive Network Response to Line Failures in Power Systems.
IEEE Trans. Control. Netw. Syst., March, 2023

Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning.
Proc. ACM Meas. Anal. Comput. Syst., March, 2023

Online Adversarial Stabilization of Unknown Networked Systems.
Proc. ACM Meas. Anal. Comput. Syst., March, 2023

Smoothed Online Optimization with Unreliable Predictions.
Proc. ACM Meas. Anal. Comput. Syst., March, 2023

Generalized Exact Scheduling: A Minimal-Variance Distributed Deadline Scheduler.
Oper. Res., March, 2023

Adversarial Attacks on Cooperative Multi-agent Bandits.
CoRR, 2023

Best of Both Worlds: Stochastic and Adversarial Convex Function Chasing.
CoRR, 2023

Online Algorithms with Uncertainty-Quantified Predictions.
CoRR, 2023

Learning the Uncertainty Sets for Control Dynamics via Set Membership: A Non-Asymptotic Analysis.
CoRR, 2023

Towards Environmentally Equitable AI via Geographical Load Balancing.
CoRR, 2023

Learning-Augmented Decentralized Online Convex Optimization in Networks.
CoRR, 2023

Adversarial Attacks on Online Learning to Rank with Click Feedback.
CoRR, 2023

Online Stabilization of Unknown Linear Time-Varying Systems.
CoRR, 2023

Contextual Combinatorial Bandits with Probabilistically Triggered Arms.
CoRR, 2023

Price Cycles in Ridesharing Platforms.
Proceedings of the Web and Internet Economics - 19th International Conference, 2023

Convergence rates for localized actor-critic in networked Markov potential games.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Adversarial Attacks on Online Learning to Rank with Click Feedback.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Anytime-Competitive Reinforcement Learning with Policy Prior.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Learning for Smoothed Online Convex Optimization with Feedback Delay.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online switching control with stability and regret guarantees.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Contextual Combinatorial Bandits with Probabilistically Triggered Arms.
Proceedings of the International Conference on Machine Learning, 2023

Pricing Uncertainty in Stochastic Multi-Stage Electricity Markets.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Online Adversarial Stabilization of Unknown Linear Time-Varying Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Scalable Reinforcement Learning for Multiagent Networked Systems.
Oper. Res., November, 2022

Learning-Augmented Energy-Aware Scheduling of Precedence-Constrained Tasks.
SIGMETRICS Perform. Evaluation Rev., 2022

The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition.
SIGMETRICS Perform. Evaluation Rev., 2022

Online Optimization with Feedback Delay and Nonlinear Switching Cost.
Proc. ACM Meas. Anal. Comput. Syst., 2022

Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions.
Proc. ACM Meas. Anal. Comput. Syst., 2022

Transparency and Control in Platforms for Networked Markets.
Oper. Res., 2022

Stability Constrained Reinforcement Learning for Real-Time Voltage Control in Distribution Systems.
CoRR, 2022

KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems.
CoRR, 2022

Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control.
CoRR, 2022

Online Stabilization of Unknown Networked Systems with Communication Constraints.
CoRR, 2022

Online Optimization with Untrusted Predictions.
CoRR, 2022

Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Decentralized Online Convex Optimization in Networked Systems.
Proceedings of the International Conference on Machine Learning, 2022

Robust online voltage control with an unknown grid topology.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

Chasing Convex Bodies and Functions with Black-Box Advice.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Competitive Control with Delayed Imperfect Information.
Proceedings of the American Control Conference, 2022

Stability Constrained Reinforcement Learning for Real-Time Voltage Control.
Proceedings of the American Control Conference, 2022

Interface Networks for Failure Localization in Power Systems.
Proceedings of the American Control Conference, 2022

On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory (Extended Abstract).
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021
Learning-Based Predictive Control via Real-Time Aggregate Flexibility.
IEEE Trans. Smart Grid, 2021

Correction to: Multi-server queueing systems with multiple priority classes.
Queueing Syst. Theory Appl., 2021

The Online Knapsack Problem with Departures.
Proc. ACM Meas. Anal. Comput. Syst., 2021

Information Aggregation for Constrained Online Control.
Proc. ACM Meas. Anal. Comput. Syst., 2021

Asymptotically optimal load balancing in large-scale heterogeneous systems with multiple dispatchers.
Perform. Evaluation, 2021

Publisher Correction to: Signomial and polynomial optimization via relative entropy and partial dualization.
Math. Program. Comput., 2021

Signomial and polynomial optimization via relative entropy and partial dualization.
Math. Program. Comput., 2021

Newton Polytopes and Relative Entropy Optimization.
Found. Comput. Math., 2021

Robustness and Consistency in Linear Quadratic Control with Predictions.
CoRR, 2021

In-Network Freshness Control: Trading Throughput for Freshness.
CoRR, 2021

A Spectral Representation of Power Systems with Applications to Adaptive Grid Partitioning and Cascading Failure Localization.
CoRR, 2021

Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Agent Reinforcement Learning in Stochastic Networked Systems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stable Online Control of Linear Time-Varying Systems.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Pricing flexibility of shiftable demand in electricity markets.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

Enabling Sustainable Clouds: The Case for Virtualizing the Energy System.
Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

Exploiting Linear Models for Model-Free Nonlinear Control: A Provably Convergent Policy Gradient Approach.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Data-driven Competitive Algorithms for Online Knapsack and Set Cover.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Online Linear Optimization with Inventory Management Constraints.
Proc. ACM Meas. Anal. Comput. Syst., 2020

Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging.
Proc. ACM Meas. Anal. Comput. Syst., 2020

Characterizing Policies with Optimal Response Time Tails under Heavy-Tailed Job Sizes.
Proc. ACM Meas. Anal. Comput. Syst., 2020

Online Optimization with Predictions and Non-convex Losses.
Proc. ACM Meas. Anal. Comput. Syst., 2020

Third-Party Data Providers Ruin Simple Mechanisms.
Proc. ACM Meas. Anal. Comput. Syst., 2020

Loyalty programs in the sharing economy: Optimality and competition.
Perform. Evaluation, 2020

On the Inefficiency of Forward Markets in Leader-Follower Competition.
Oper. Res., 2020

Optimal Pricing in Markets with Nonconvex Costs.
Oper. Res., 2020

Real-time Aggregate Flexibility via Reinforcement Learning.
CoRR, 2020

Combining Model-Based and Model-Free Methods for Nonlinear Control: A Provably Convergent Policy Gradient Approach.
CoRR, 2020

Distributed Reinforcement Learning in Multi-Agent Networked Systems.
CoRR, 2020

Localization & Mitigation of Cascading Failures in Power Systems, Part II: Localization.
CoRR, 2020

Localization & Mitigation of Cascading Failures in Power Systems, Part III: Real-time Mitigation.
CoRR, 2020

Localization & Mitigation of Cascading Failures in Power Systems, Part I: Spectral Representation & Tree Partition.
CoRR, 2020

An Integrated Approach for Failure Mitigation & Localization in Power Systems.
CoRR, 2020

Beyond No-Regret: Competitive Control via Online Optimization with Memory.
CoRR, 2020

Mitigating Cascading Failures via Local Responses.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

The Power of Predictions in Online Control.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online Optimization with Memory and Competitive Control.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Real-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$-Learning.
Proceedings of the Conference on Learning Theory, 2020

2019
Communication-Aware Scheduling of Precedence-Constrained Tasks.
SIGMETRICS Perform. Evaluation Rev., 2019

An Online Algorithm for Smoothed Online Convex Optimization.
SIGMETRICS Perform. Evaluation Rev., 2019

Logarithmic Communication for Distributed Optimization in Multi-Agent Systems.
Proc. ACM Meas. Anal. Comput. Syst., 2019

Competitive Online Optimization under Inventory Constraints.
Proc. ACM Meas. Anal. Comput. Syst., 2019

Prices and subsidies in the sharing economy.
Perform. Evaluation, 2019

On the Role of a Market Maker in Networked Cournot Competition.
Math. Oper. Res., 2019

Online Inventory Management with Application to Energy Procurement in Data Centers.
CoRR, 2019

Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Optimal Pricing in Markets with Non-Convex Costs.
Proceedings of the 2019 ACM Conference on Economics and Computation, 2019

Less is More: Real-time Failure Localization in Power Systems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

An Online Algorithm for Smoothed Regression and LQR Control.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Datum: Managing Data Purchasing and Data Placement in a Geo-Distributed Data Market.
IEEE/ACM Trans. Netw., 2018

Convex Prophet Inequalities.
SIGMETRICS Perform. Evaluation Rev., 2018

Minimal-Variance Distributed Deadline Scheduling in a Stationary Environment.
SIGMETRICS Perform. Evaluation Rev., 2018

Minimal-variance distributed scheduling under strict demands and deadlines.
SIGMETRICS Perform. Evaluation Rev., 2018

Failure Localization in Power Systems via Tree Partitions.
SIGMETRICS Perform. Evaluation Rev., 2018

Message from the Editors.
Proc. ACM Meas. Anal. Comput. Syst., 2018

Provisioning of ad-supported cloud services: The role of competition.
Perform. Evaluation, 2018

Smoothed Online Optimization for Regression and Control.
CoRR, 2018

Smoothed Online Convex Optimization in High Dimensions via Online Balanced Descent.
Proceedings of the Conference On Learning Theory, 2018

A Parallelizable Acceleration Framework for Packing Linear Programs.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Energy Portfolio Optimization of Data Centers.
IEEE Trans. Smart Grid, 2017

Controlling the Variability of Capacity Allocations Using Service Deferrals.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2017

The Economics of the Cloud.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2017

Distributed Optimization via Local Computation Algorithms.
SIGMETRICS Perform. Evaluation Rev., 2017

Networked Cournot Competition in Platform Markets: Access Control and Efficiency Loss.
SIGMETRICS Perform. Evaluation Rev., 2017

A First Look at Power Attacks in Multi-Tenant Data Centers.
SIGMETRICS Perform. Evaluation Rev., 2017

Thinking Fast and Slow: Optimization Decomposition Across Timescales.
SIGMETRICS Perform. Evaluation Rev., 2017

A Spot Capacity Market to Increase Power Infrastructure Utilization in Multi-Tenant Data Centers.
Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Urbana-Champaign, IL, USA, June 05, 2017

The efficiency of open access in platforms for networked cournot markets.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

On the efficiency of networked Stackelberg competition.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

Exploiting a Thermal Side Channel for Power Attacks in Multi-Tenant Data Centers.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

Networked cournot competition in platform markets.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
When Heavy-Tailed and Light-Tailed Flows Compete: The Response Time Tail Under Generalized Max-Weight Scheduling.
IEEE/ACM Trans. Netw., 2016

Opportunities for Price Manipulation by Aggregators in Electricity Markets.
SIGMETRICS Perform. Evaluation Rev., 2016

Provisioning of Large-Scale Systems: The Interplay Between Network Effects and Strategic Behavior in the User Base.
Manag. Sci., 2016

Routing and Staffing When Servers Are Strategic.
Oper. Res., 2016

The Empirical Implications of Privacy-Aware Choice.
Oper. Res., 2016

Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market.
Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016

Using Predictions in Online Optimization: Looking Forward with an Eye on the Past.
Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016

A market approach for handling power emergencies in multi-tenant data center.
Proceedings of the 2016 IEEE International Symposium on High Performance Computer Architecture, 2016

2015
Greening Geographical Load Balancing.
IEEE/ACM Trans. Netw., 2015

Speculation-aware Cluster Scheduling.
SIGMETRICS Perform. Evaluation Rev., 2015

Characterizing the impact of the workload on the value of dynamic resizing in data centers.
Perform. Evaluation, 2015

Greening multi-tenant data center demand response.
Perform. Evaluation, 2015

Online Convex Optimization Using Predictions.
Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015

Hopper: Decentralized Speculation-aware Cluster Scheduling at Scale.
Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, 2015

Optimizing energy storage participation in emerging power markets.
Proceedings of the Sixth International Green and Sustainable Computing Conference, 2015

Distributed optimization decomposition for joint economic dispatch and frequency regulation.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Online convex optimization with ramp constraints.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Special Issue on Pricing and Incentives in Networks and Systems: Guest Editors' Introduction.
ACM Trans. Internet Techn., 2014

On competitive provisioning of cloud services.
SIGMETRICS Perform. Evaluation Rev., 2014

The economics of the cloud: price competition and congestion.
SIGMETRICS Perform. Evaluation Rev., 2014

Potential Games Are <i>Necessary</i> to Ensure Pure Nash Equilibria in Cost Sharing Games.
Math. Oper. Res., 2014

On the Existence of Low-Rank Explanations for Mixed Strategy Behavior.
Proceedings of the Web and Internet Economics - 10th International Conference, 2014

Energy procurement strategies in the presence of intermittent sources.
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2014

Pricing data center demand response.
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2014

GRASS: Trimming Stragglers in Approximation Analytics.
Proceedings of the 11th USENIX Symposium on Networked Systems Design and Implementation, 2014

Optimal risk-aware power procurement for data centers in day-ahead and real-time electricity markets.
Proceedings of the 2014 Proceedings IEEE INFOCOM Workshops, Toronto, ON, Canada, April 27, 2014

Opportunities and challenges for data center demand response.
Proceedings of the International Green Computing Conference, 2014

Distributional analysis for model predictive deferrable load control.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

The role of a market maker in networked cournot competition.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

On competitive provisioning of ad-supported cloud services.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
Dynamic Right-Sizing for Power-Proportional Data Centers.
IEEE/ACM Trans. Netw., 2013

Overcoming the Limitations of Utility Design for Multiagent Systems.
IEEE Trans. Autom. Control., 2013

Real-time deferrable load control: handling the uncertainties of renewable generation.
SIGMETRICS Perform. Evaluation Rev., 2013

Data center demand response: Avoiding the coincident peak via workload shifting and local generation.
Perform. Evaluation, 2013

Joint optimization of overlapping phases in MapReduce.
Perform. Evaluation, 2013

Distributed Welfare Games.
Oper. Res., 2013

The Cost of an Epidemic over a Complex Network: A Random Matrix Approach.
CoRR, 2013

The Complexity of Nash Equilibria as Revealed by Data.
CoRR, 2013

The fundamentals of heavy-tails: properties, emergence, and identification.
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2013

A tale of two metrics: simultaneous bounds on competitiveness and regret.
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2013

Potential games are necessary to ensure pure nash equilibria in cost sharing games.
Proceedings of the fourteenth ACM Conference on Electronic Commerce, 2013

The empirical implications of rank in Bimatrix games.
Proceedings of the fourteenth ACM Conference on Electronic Commerce, 2013

Inefficiency in forward markets with supply friction.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Speed Scaling.
Proceedings of the Handbook of Energy-Aware and Green Computing - Two Volume Set., 2012

Many Flows Asymptotics for SMART Scheduling Policies.
IEEE Trans. Autom. Control., 2012

Online optimization with switching cost.
SIGMETRICS Perform. Evaluation Rev., 2012

Fairness and efficiency for polling models with the k-gated service discipline.
Perform. Evaluation, 2012

Power-aware speed scaling in processor sharing systems: Optimality and robustness.
Perform. Evaluation, 2012

Is Tail-Optimal Scheduling Possible?
Oper. Res., 2012

Renewable and cooling aware workload management for sustainable data centers.
Proceedings of the ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2012

Finding a walrasian equilibrium is easy for a fixed number of agents.
Proceedings of the 13th ACM Conference on Electronic Commerce, 2012

Online algorithms for geographical load balancing.
Proceedings of the 2012 International Green Computing Conference, 2012

Incentives for P2P-assisted content distribution: If you can't beat 'em, join 'em.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Exploiting network effects in the provisioning of large scale systems.
SIGMETRICS Perform. Evaluation Rev., 2011

Geographical load balancing with renewables.
SIGMETRICS Perform. Evaluation Rev., 2011

Dispatching to incentivize fast service in multi-server queues.
SIGMETRICS Perform. Evaluation Rev., 2011

Complexity and economics: computational constraints may not matter empirically.
SIGecom Exch., 2011

Heavy-traffic analysis of mean response time under Shortest Remaining Processing Time.
Perform. Evaluation, 2011

Competition yields efficiency in load balancing games.
Perform. Evaluation, 2011

A revealed preference approach to computational complexity in economics.
Proceedings of the Proceedings 12th ACM Conference on Electronic Commerce (EC-2011), 2011

Peer Effects and Stability in Matching Markets.
Proceedings of the Algorithmic Game Theory, 4th International Symposium, 2011

Characterizing distribution rules for cost sharing games.
Proceedings of the 5th International Conference on NETwork Games, COntrol and OPtimization, 2011

Minimizing the Social Cost of an Epidemic.
Proceedings of the Game Theory for Networks - 2nd International ICST Conference, 2011

Online dynamic capacity provisioning in data centers.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
The average response time in a heavy-traffic srpt queue.
SIGMETRICS Perform. Evaluation Rev., 2010

An architectural view of game theoretic control.
SIGMETRICS Perform. Evaluation Rev., 2010

Tail-robust scheduling via limited processor sharing.
Perform. Evaluation, 2010

Distance-Dependent Kronecker Graphs for Modeling Social Networks.
IEEE J. Sel. Top. Signal Process., 2010

Optimality, fairness, and robustness in speed scaling designs.
Proceedings of the SIGMETRICS 2010, 2010

Scheduling for the tail: Robustness versus optimality.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
Optimal speed scaling under arbitrary power functions.
SIGMETRICS Perform. Evaluation Rev., 2009

Power-Aware Speed Scaling in Processor Sharing Systems.
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

On the Impact of Heterogeneity and Back-End Scheduling in Load Balancing Designs.
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

Overcoming limitations of game-theoretic distributed control.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Approximate dynamic programming using fluid and diffusion approximations with applications to power management.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Generalizing Kronecker graphs in order to model searchable networks.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
The effect of local scheduling in load balancing designs.
SIGMETRICS Perform. Evaluation Rev., 2008

The Foreground-Background queue: A survey.
Perform. Evaluation, 2008

Preventing Large Sojourn Times Using SMART Scheduling.
Oper. Res., 2008

Scheduling despite inexact job-size information.
Proceedings of the 2008 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2008

Distributed welfare games with applications to sensor coverage.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Stochastic analysis of power-aware scheduling.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008

2007
Fairness and classifications.
SIGMETRICS Perform. Evaluation Rev., 2007

Scheduling in polling systems.
Perform. Evaluation, 2007

2006
On the effect of inexact size information in size based policies.
SIGMETRICS Perform. Evaluation Rev., 2006

How many servers are best in a dual-priority M/PH/k system?
Perform. Evaluation, 2006

Tail asymptotics for policies favoring short jobs in a many-flows regime.
Proceedings of the Joint International Conference on Measurement and Modeling of Computer Systems, 2006

Open Versus Closed: A Cautionary Tale.
Proceedings of the 3rd Symposium on Networked Systems Design and Implementation (NSDI 2006), 2006

How to Determine a Good Multi-Programming Level for External Scheduling.
Proceedings of the 22nd International Conference on Data Engineering, 2006

2005
Multi-Server Queueing Systems with Multiple Priority Classes.
Queueing Syst. Theory Appl., 2005

Nearly insensitive bounds on SMART scheduling.
Proceedings of the International Conference on Measurements and Modeling of Computer Systems, 2005

Classifying scheduling policies with respect to higher moments of conditional response time.
Proceedings of the International Conference on Measurements and Modeling of Computer Systems, 2005

2004
Formalizing SMART scheduling.
SIGMETRICS Perform. Evaluation Rev., 2004

A recursive analysis technique for multi-dimensionally infinite Markov chains.
SIGMETRICS Perform. Evaluation Rev., 2004

A note on comparing response times in the M/GI/1/FB and M/GI/1/PS queues.
Oper. Res. Lett., 2004

An improved upper bound for the pebbling threshold of the <i>n</i>-path.
Discret. Math., 2004

2003
Modeling TCP-vegas under on/off traffic.
SIGMETRICS Perform. Evaluation Rev., 2003

Classifying scheduling policies with respect to unfairness in an M/GI/1.
Proceedings of the International Conference on Measurements and Modeling of Computer Systems, 2003

A Unified Framework for Modeling TCP-Vegas, TCP-SACK, and TCP-Reno.
Proceedings of the 11th International Workshop on Modeling, 2003

2002
Understanding the slowdown of large jobs in an M/GI/1 system.
SIGMETRICS Perform. Evaluation Rev., 2002

Asymptotic convergence of scheduling policies with respect to slowdown.
Perform. Evaluation, 2002


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