Adam Wierman - RankMe

420 papers A* 80A 5B 3C 3Misc 4Journal 254Unranked 69

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data-Driven Successive Linearization for Optimal Voltage Control. CoRR Yiwei Dong, Wenqi Cui, Han Xu, Adam Wierman, Steven H. Low
2026	J	`jnl`	Distributionally Robust Cooperative Multi-Agent Reinforcement Learning via Robust Value Factorization. CoRR Chengrui Qu, Christopher Yeh, Kishan Panaganti, Eric Mazumdar, Adam Wierman
2026	J	`jnl`	Graphon Mean-Field Subsampling for Cooperative Heterogeneous Multi-Agent Reinforcement Learning. CoRR Emile Anand, Richard Hoffmann, Sarah Liaw, Adam Wierman
2026	J	`jnl`	SCaLE: Switching Cost aware Learning and Exploration. CoRR Neelkamal Bhuyan, Debankur Mukherjee, Adam Wierman
2026	J	`jnl`	Small Bottle, Big Pipe: Quantifying and Addressing the Impact of Data Centers on Public Water Systems. CoRR Yuelin Han, Pengfei Li, Adam Wierman, Shaolei Ren
2026	J	`jnl`	Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity. CoRR Yingxuan Yang, Chengrui Qu, Muning Wen, Laixi Shi, Ying Wen, Weinan Zhang, Adam Wierman, Shangding Gu
2025	J	`jnl`	A view of the sustainable computing landscape. Patterns Benjamin C. Lee, David Brooks, Arthur van Benthem, Mariam Elgamal, Udit Gupta, Gage Hills, Vincent Liu, Linh Thi Xuan Phan, Benjamin Pierce, Christopher Stewart, Emma Strubell, Gu-Yeon Wei, Adam Wierman, Yuan Yao, Minlan Yu
2025	A	`conf`	Approximate Global Convergence of Independent Learning in Multi-Agent Systems. AISTATS Ruiyang Jin, Zaiwei Chen, Yiheng Lin, Jie Song, Adam Wierman
2025	A*	`conf`	Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning. ICML Laixi Shi, Jingchu Gai, Eric Mazumdar, Yuejie Chi, Adam Wierman
2025	A*	`conf`	Carbon- and Precedence-Aware Scheduling for Data Processing Clusters. SIGCOMM Adam Lechowicz, Rohan Shenoy, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Christina Delimitrou
2025	J	`jnl`	Carbon- and Precedence-Aware Scheduling for Data Processing Clusters. CoRR Adam Lechowicz, Rohan Shenoy, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Christina Delimitrou
2025	J	`jnl`	Competitive Algorithms for Cooperative Multi-Agent Ski-Rental Problems. CoRR Xuchuang Wang, Bo Sun, Hedyeh Beyhaghi, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman
2025	J	`jnl`	Conformal Risk Training: End-to-End Optimization of Conformal Risk Control. CoRR Christopher Yeh, Nicolas Christianson, Adam Wierman, Yisong Yue
2025	J	`jnl`	Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees. CoRR Sourav Ganguly, Arnob Ghosh, Kishan Panaganti, Adam Wierman
2025	J	`jnl`	End-to-End Conformal Calibration for Optimization Under Uncertainty. Trans. Mach. Learn. Res. Christopher Yeh, Nicolas Christianson, Alan Wu, Adam Wierman, Yisong Yue
2025	J	`jnl`	Enhancing Data Center Low-Voltage Ride-Through. CoRR Yiheng Xie, Wenqi Cui, Adam Wierman
2025	J	`jnl`	Fairness-Regularized Online Optimization with Switching Costs. CoRR Pengfei Li, Yuelin Han, Adam Wierman, Shaolei Ren
2025	J	`jnl`	Fast Non-Episodic Adaptive Tuning of Robot Controllers with Online Policy Optimization. CoRR James A. Preiss, Fengze Xie, Yiheng Lin, Adam Wierman, Yisong Yue
2025	A*	`conf`	Fusing Reward and Dueling Feedback in Stochastic Bandits. ICML Xuchuang Wang, Qirun Zeng, Jinhang Zuo, Xutong Liu, Mohammad Hajiesmaili, John C. S. Lui, Adam Wierman
2025	J	`jnl`	Fusing Reward and Dueling Feedback in Stochastic Bandits. CoRR Xuchuang Wang, Qirun Zeng, Jinhang Zuo, Xutong Liu, Mohammad Hajiesmaili, John C. S. Lui, Adam Wierman
2025	A	`conf`	Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data. AISTATS Chengrui Qu, Laixi Shi, Kishan Panaganti, Pengcheng You, Adam Wierman
2025	J	`jnl`	KL-regularization Itself is Differentially Private in Bandits and RLHF. CoRR Yizhou Zhang, Kishan Panaganti, Laixi Shi, Juba Ziani, Adam Wierman
2025	—	`conf`	Learning for Sustainable Online Scheduling with Competitive Fairness Guarantees. e-Energy Pengfei Li, Nicolas Christianson, Jianyi Yang, Adam Wierman, Shaolei Ren
2025	—	`conf`	Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints. SIGMETRICS (Abstracts) Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2025	J	`jnl`	Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints. Proc. ACM Meas. Anal. Comput. Syst. Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2025	—	`conf`	Learning-Augmented Decentralized Online Convex Optimization in Networks. SIGMETRICS (Abstracts) Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren
2025	—	`conf`	Learning-Augmented Online Control for Decarbonizing Water Infrastructures. e-Energy Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren
2025	J	`jnl`	Learning-Augmented Online Control for Decarbonizing Water Infrastructures. CoRR Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren
2025	J	`jnl`	Leveraging Predictions in Power System Voltage Control: An Adaptive Approach. CoRR Wenqi Cui, Yiheng Xie, Steven H. Low, Adam Wierman, Baosen Zhang
2025	J	`jnl`	Now More Than Ever, Foundational AI Research and Infrastructure Depends on the Federal Government. CoRR Michela Taufer, Rada Mihalcea, Matthew Turk, Daniel P. Lopresti, Adam Wierman, Kevin R. B. Butler, Sven Koenig, David Danks, William Gropp, Manish Parashar, Yolanda Gil, William C. Regli, Rajmohan Rajaraman, David Jensen, Nadya Bliss, Mary Lou Maher
2025	—	`conf`	Online Comfort-Constrained HVAC Control via Feature Transfer. e-Energy Jing Yu, Tianyu Zhang, Omid Ardakanian, Adam Wierman
2025	A*	`conf`	Online Robust Reinforcement Learning Through Monte-Carlo Planning. ICML Tuan Dam, Kishan Panaganti, Brahim Driss, Adam Wierman
2025	J	`jnl`	Online Smoothed Demand Management. CoRR Adam Lechowicz, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2025	A*	`conf`	Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization. ICML Chenbei Lu, Laixi Shi, Zaiwei Chen, Chenye Wu, Adam Wierman
2025	—	`conf`	Plan for the Worst with Advice: Advice-augmented Robust Markov Decision Processes. CDC Tinashe Handina, Kishan Panaganti, Eric Mazumdar, Adam Wierman
2025	J	`jnl`	Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach. CoRR Chenbei Lu, Zaiwei Chen, Tongxin Li, Chenye Wu, Adam Wierman
2025	A*	`conf`	Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning. ICLR Shangding Gu, Laixi Shi, Muning Wen, Ming Jin, Eric Mazumdar, Yuejie Chi, Adam Wierman, Costas J. Spanos
2025	J	`jnl`	Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning. CoRR Shangding Gu, Laixi Shi, Muning Wen, Ming Jin, Eric Mazumdar, Yuejie Chi, Adam Wierman, Costas J. Spanos
2025	J	`jnl`	SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer. CoRR Yarden As, Chengrui Qu, Benjamin Unger, Dongho Kang, Max van der Hart, Laixi Shi, Stelian Coros, Adam Wierman, Andreas Krause
2025	J	`jnl`	Toward Environmentally Equitable AI. Commun. ACM Mohammad Hajiesmaili, Shaolei Ren, Ramesh K. Sitaraman, Adam Wierman
2024	J	`jnl`	Approximate Global Convergence of Independent Learning in Multi-Agent Systems. CoRR Ruiyang Jin, Zaiwei Chen, Yiheng Lin, Jie Song, Adam Wierman
2024	A*	`conf`	Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization. ICML Neelkamal Bhuyan, Debankur Mukherjee, Adam Wierman
2024	J	`jnl`	Black-Box Acceleration of Monotone Convex Program Solvers. Oper. Res. Palma London, Shai Vardi, Reza Eghbali, Adam Wierman
2024	J	`jnl`	Can We Break the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning? CoRR Laixi Shi, Jingchu Gai, Eric Mazumdar, Yuejie Chi, Adam Wierman
2024	J	`jnl`	Carbon Connect: An Ecosystem for Sustainable Computing. CoRR Benjamin C. Lee, David Brooks, Arthur van Benthem, Udit Gupta, Gage Hills, Vincent Liu, Benjamin Pierce, Christopher Stewart, Emma Strubell, Gu-Yeon Wei, Adam Wierman, Yuan Yao, Minlan Yu
2024	J	`jnl`	CarbonClipper: Optimal Algorithms for Carbon-Aware Spatiotemporal Workload Management. CoRR Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2024	—	`conf`	Characterizing Controllability and Observability for Systems with Locality, Communication, and Actuation Constraints. CDC Lauren E. Conger, Yiheng Lin, Adam Wierman, Eric Mazumdar
2024	A*	`conf`	Chasing Convex Functions with Long-term Constraints. ICML Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2024	J	`jnl`	Chasing Convex Functions with Long-term Constraints. CoRR Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2024	—	`conf`	Combining model-based controller and ML advice via convex reparameterization. L4DC Junxuan Shen, Adam Wierman, Guannan Qu
2024	J	`jnl`	Communication Efficient Decentralization for Smoothed Online Convex Optimization. CoRR Neelkamal Bhuyan, Debankur Mukherjee, Adam Wierman
2024	J	`jnl`	Distributionally Robust Constrained Reinforcement Learning under Strong Duality. RLJ Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue
2024	J	`jnl`	Distributionally Robust Constrained Reinforcement Learning under Strong Duality. CoRR Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue
2024	J	`jnl`	End-to-End Conformal Calibration for Optimization Under Uncertainty. CoRR Christopher Yeh, Nicolas Christianson, Alan Wu, Adam Wierman, Yisong Yue
2024	A*	`conf`	Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation. NeurIPS Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas J. Spanos, Adam Wierman, Ming Jin
2024	J	`jnl`	Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation. CoRR Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas J. Spanos, Adam Wierman, Ming Jin
2024	J	`jnl`	Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data. CoRR Chengrui Qu, Laixi Shi, Kishan Panaganti, Pengcheng You, Adam Wierman
2024	J	`jnl`	Last-Iterate Convergence of Payoff-Based Independent Learning in Zero-Sum Stochastic Games. CoRR Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman
2024	A*	`conf`	Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis. ICML Yingying Li, Jing Yu, Lauren E. Conger, Taylan Kargin, Adam Wierman
2024	J	`jnl`	Learning-Augmented Decentralized Online Convex Optimization in Networks. Proc. ACM Meas. Anal. Comput. Syst. Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren
2024	J	`jnl`	Learning-Augmented Energy-Aware List Scheduling for Precedence-Constrained Tasks. ACM Trans. Model. Perform. Evaluation Comput. Syst. Yu Su, Vivek Anand, Jannie Yu, Jian Tan, Adam Wierman
2024	J	`jnl`	Minimization Fractional Prophet Inequalities for Sequential Procurement. Math. Oper. Res. Junjie Qin, Shai Vardi, Adam Wierman
2024	J	`jnl`	Model-Free Robust φ-Divergence Reinforcement Learning Using Both Offline and Online Data. CoRR Kishan Panaganti, Adam Wierman, Eric Mazumdar
2024	A*	`conf`	Model-Free Robust ϕ-Divergence Reinforcement Learning Using Both Offline and Online Data. ICML Kishan Panaganti, Adam Wierman, Eric Mazumdar
2024	A*	`conf`	Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms. NeurIPS Pierre Clavier, Laixi Shi, Erwan Le Pennec, Eric Mazumdar, Adam Wierman, Matthieu Geist
2024	A*	`conf`	Online Algorithms with Uncertainty-Quantified Predictions. ICML Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, Raouf Boutaba
2024	A*	`conf`	Online Budgeted Matching with General Bids. NeurIPS Jianyi Yang, Pengfei Li, Adam Wierman, Shaolei Ren
2024	J	`jnl`	Online Budgeted Matching with General Bids. CoRR Jianyi Yang, Pengfei Li, Adam Wierman, Shaolei Ren
2024	—	`conf`	Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms. SIGMETRICS/Performance (Abstracts) Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2024	J	`jnl`	Online Learning for Robust Voltage Control Under Uncertain Grid Topology. IEEE Trans. Smart Grid Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman
2024	A*	`conf`	Online Policy Optimization in Unknown Nonlinear Systems. COLT Yiheng Lin, James A. Preiss, Fengze Xie, Emile Anand, Soon-Jo Chung, Yisong Yue, Adam Wierman
2024	J	`jnl`	Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization. CoRR Chenbei Lu, Laixi Shi, Zaiwei Chen, Chenye Wu, Adam Wierman
2024	A*	`conf`	Risk-Sensitive Online Algorithms (Extended Abstract). COLT Nicolas Christianson, Bo Sun, Steven H. Low, Adam Wierman
2024	J	`jnl`	Risk-Sensitive Online Algorithms. CoRR Nicolas Christianson, Bo Sun, Steven H. Low, Adam Wierman
2024	J	`jnl`	Risk-Sensitive Online Algorithms. SIGMETRICS Perform. Evaluation Rev. Nicolas Christianson, Bo Sun, Steven H. Low, Adam Wierman
2024	A*	`conf`	SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming. SIGCOMM Tianyu Chen, Yiheng Lin, Nicolas Christianson, Zahaib Akhtar, Sharath Dharmaji, Mohammad Hajiesmaili, Adam Wierman, Ramesh K. Sitaraman
2024	A*	`conf`	Safe Exploitative Play with Untrusted Type Beliefs. NeurIPS Tongxin Li, Tinashe Handina, Shaolei Ren, Adam Wierman
2024	J	`jnl`	Safe Exploitative Play with Untrusted Type Beliefs. CoRR Tongxin Li, Tinashe Handina, Shaolei Ren, Adam Wierman
2024	A*	`conf`	Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty. ICML Laixi Shi, Eric Mazumdar, Yuejie Chi, Adam Wierman
2024	J	`jnl`	Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty. CoRR Laixi Shi, Eric Mazumdar, Yuejie Chi, Adam Wierman
2024	J	`jnl`	Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control. IEEE Trans. Control. Netw. Syst. Jie Feng, Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman
2024	—	`conf`	The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. SIGMETRICS/Performance (Abstracts) Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2024	J	`jnl`	The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. Math. Oper. Res. Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang
2024	J	`jnl`	The Unpaid Toll: Quantifying the Public Health Impact of AI. CoRR Yuelin Han, Zhifeng Wu, Pengfei Li, Adam Wierman, Shaolei Ren
2024	—	`conf`	Towards Environmentally Equitable AI via Geographical Load Balancing. e-Energy Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren
2024	J	`jnl`	Towards Environmentally Equitable AI. CoRR Mohammad Hajiesmaili, Shaolei Ren, Ramesh K. Sitaraman, Adam Wierman
2024	A*	`conf`	Two-Timescale Q-Learning with Function Approximation in Zero-Sum Stochastic Games. EC Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman
2023	A*	`conf`	A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games. NeurIPS Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman
2023	J	`jnl`	A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games. CoRR Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman
2023	J	`jnl`	Adaptive Network Response to Line Failures in Power Systems. IEEE Trans. Control. Netw. Syst. Chen Liang, Linqi Guo, Alessandro Zocca, Steven H. Low, Adam Wierman
2023	J	`jnl`	Adversarial Attacks on Cooperative Multi-agent Bandits. CoRR Jinhang Zuo, Zhiyao Zhang, Xuchuang Wang, Cheng Chen, Shuai Li, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman
2023	A*	`conf`	Adversarial Attacks on Online Learning to Rank with Click Feedback. NeurIPS Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, Adam Wierman
2023	J	`jnl`	Adversarial Attacks on Online Learning to Rank with Click Feedback. CoRR Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad H. Hajiesmaili, Adam Wierman
2023	J	`jnl`	An Energy Sharing Mechanism Considering Network Constraints and Market Power Limitation. IEEE Trans. Smart Grid Yue Chen, Changhong Zhao, Steven H. Low, Adam Wierman
2023	A*	`conf`	Anytime-Competitive Reinforcement Learning with Policy Prior. NeurIPS Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren
2023	J	`jnl`	Anytime-Competitive Reinforcement Learning with Policy Prior. CoRR Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren
2023	J	`jnl`	Best of Both Worlds: Stochastic and Adversarial Convex Function Chasing. CoRR Neelkamal Bhuyan, Debankur Mukherjee, Adam Wierman
2023	A*	`conf`	Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions. NeurIPS Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman
2023	J	`jnl`	Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions. CoRR Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman
2023	J	`jnl`	Communication-aware scheduling of precedence-constrained tasks on related machines. Oper. Res. Lett. Yu Su, Shai Vardi, Xiaoqi Ren, Adam Wierman
2023	A*	`conf`	Contextual Combinatorial Bandits with Probabilistically Triggered Arms. ICML Xutong Liu, Jinhang Zuo, Siwei Wang, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen
2023	J	`jnl`	Contextual Combinatorial Bandits with Probabilistically Triggered Arms. CoRR Xutong Liu, Jinhang Zuo, Siwei Wang, John C. S. Lui, Mohammad H. Hajiesmaili, Adam Wierman, Wei Chen
2023	J	`jnl`	Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games. CoRR Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman
2023	A	`conf`	Convergence rates for localized actor-critic in networked Markov potential games. UAI Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman
2023	J	`jnl`	Generalized Exact Scheduling: A Minimal-Variance Distributed Deadline Scheduler. Oper. Res. Yorie Nakahira, Andrés Ferragut, Adam Wierman
2023	—	`conf`	Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. SIGMETRICS (Abstracts) Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
2023	J	`jnl`	Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. Proc. ACM Meas. Anal. Comput. Syst. Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
2023	—	`conf`	KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems. CDC Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar
2023	J	`jnl`	Learning the Uncertainty Sets for Control Dynamics via Set Membership: A Non-Asymptotic Analysis. CoRR Yingying Li, Jing Yu, Lauren E. Conger, Adam Wierman
2023	J	`jnl`	Learning-Augmented Decentralized Online Convex Optimization in Networks. CoRR Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren
2023	J	`jnl`	Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. SIAM J. Control. Optim. Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu
2023	A*	`conf`	Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations. NeurIPS Yiheng Lin, James A. Preiss, Emile Anand, Yingying Li, Yisong Yue, Adam Wierman
2023	—	`conf`	Online Adversarial Stabilization of Unknown Linear Time-Varying Systems. CDC Jing Yu, Varun Gupta, Adam Wierman
2023	—	`conf`	Online Adversarial Stabilization of Unknown Networked Systems. SIGMETRICS (Abstracts) Jing Yu, Dimitar Ho, Adam Wierman
2023	J	`jnl`	Online Adversarial Stabilization of Unknown Networked Systems. Proc. ACM Meas. Anal. Comput. Syst. Jing Yu, Dimitar Ho, Adam Wierman
2023	J	`jnl`	Online Algorithms with Uncertainty-Quantified Predictions. CoRR Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman
2023	J	`jnl`	Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms. CoRR Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2023	J	`jnl`	Online Stabilization of Unknown Linear Time-Varying Systems. CoRR Jing Yu, Varun Gupta, Adam Wierman
2023	J	`jnl`	Online learning for robust voltage control under uncertain grid topology. CoRR Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman
2023	—	`conf`	Online switching control with stability and regret guarantees. L4DC Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma
2023	J	`jnl`	Online switching control with stability and regret guarantees. CoRR Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma
2023	A	`conf`	Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems. AISTATS Nicolas Christianson, Junxuan Shen, Adam Wierman
2023	—	`conf`	Price Cycles in Ridesharing Platforms. WINE Chenkai Yu, Hongyao Ma, Adam Wierman
2023	—	`conf`	Pricing Uncertainty in Stochastic Multi-Stage Electricity Markets. CDC Lucien Werner, Nicolas Christianson, Alessandro Zocca, Adam Wierman, Steven H. Low
2023	A*	`conf`	Robust Learning for Smoothed Online Convex Optimization with Feedback Delay. NeurIPS Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren
2023	J	`jnl`	Robust Learning for Smoothed Online Convex Optimization with Feedback Delay. CoRR Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren
2023	—	`conf`	Smoothed Online Optimization with Unreliable Predictions. SIGMETRICS (Abstracts) Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman
2023	J	`jnl`	Smoothed Online Optimization with Unreliable Predictions. Proc. ACM Meas. Anal. Comput. Syst. Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman
2023	A*	`conf`	SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems. NeurIPS Christopher Yeh, Victor Li, Rajeev Datta, Julio Arroyo, Nicolas Christianson, Chi Zhang, Yize Chen, Mohammad Mehdi Hosseini, Azarang Golmohammadi, Yuanyuan Shi, Yisong Yue, Adam Wierman
2023	—	`conf`	The Online Knapsack Problem with Departures. SIGMETRICS (Abstracts) Bo Sun, Lin Yang, Mohammad H. Hajiesmaili, Adam Wierman, John C. S. Lui, Don Towsley, Danny H. K. Tsang
2023	J	`jnl`	The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. CoRR Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad H. Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2023	J	`jnl`	The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. Proc. ACM Meas. Anal. Comput. Syst. Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2023	J	`jnl`	Towards Environmentally Equitable AI via Geographical Load Balancing. CoRR Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren
2023	J	`jnl`	Trading Throughput for Freshness: Freshness-aware Traffic Engineering and In-Network Freshness Control. ACM Trans. Model. Perform. Evaluation Comput. Syst. Shih-Hao Tseng, SooJean Han, Adam Wierman
2023	J	`jnl`	Two-Timescale Q-Learning with Function Approximation in Zero-Sum Stochastic Games. CoRR Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman
2022	J	`jnl`	An Energy Sharing Mechanism Considering Network Constraints and Market Power Limitation. CoRR Yue Chen, Changhong Zhao, Steven H. Low, Adam Wierman
2022	A*	`conf`	Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity. NeurIPS Yiheng Lin, Yang Hu, Guannan Qu, Tongxin Li, Adam Wierman
2022	A*	`conf`	Chasing Convex Bodies and Functions with Black-Box Advice. COLT Nicolas Christianson, Tinashe Handina, Adam Wierman
2022	J	`jnl`	Chasing Convex Bodies and Functions with Black-Box Advice. CoRR Nicolas Christianson, Tinashe Handina, Adam Wierman
2022	C	`conf`	Competitive Control with Delayed Imperfect Information. ACC Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman
2022	A*	`conf`	Decentralized Online Convex Optimization in Networked Systems. ICML Yiheng Lin, Judy Gan, Guannan Qu, Yash Kanoria, Adam Wierman
2022	J	`jnl`	Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control. CoRR Tongxin Li, Ruixiao Yang, Guannan Qu, Yiheng Lin, Steven H. Low, Adam Wierman
2022	J	`jnl`	Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. CoRR Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
2022	C	`conf`	Interface Networks for Failure Localization in Power Systems. ACC Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman
2022	J	`jnl`	Interface Networks for Failure Localization in Power Systems. CoRR Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman
2022	J	`jnl`	KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems. CoRR Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar
2022	J	`jnl`	Learning-Augmented Energy-Aware Scheduling of Precedence-Constrained Tasks. SIGMETRICS Perform. Evaluation Rev. Yu Su, Jannie Yu, Vivek Anand, Adam Wierman
2022	J	`jnl`	Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. CoRR Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu
2022	—	`conf`	On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory (Extended Abstract). Allerton Yang Hu, Adam Wierman, Guannan Qu
2022	A*	`conf`	On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory. NeurIPS Yang Hu, Adam Wierman, Guannan Qu
2022	J	`jnl`	On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory. CoRR Yang Hu, Adam Wierman, Guannan Qu
2022	—	`conf`	Online Optimization with Feedback Delay and Nonlinear Switching Cost. SIGMETRICS (Abstracts) Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman
2022	J	`jnl`	Online Optimization with Feedback Delay and Nonlinear Switching Cost. Proc. ACM Meas. Anal. Comput. Syst. Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman
2022	J	`jnl`	Online Optimization with Untrusted Predictions. CoRR Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman
2022	J	`jnl`	Online Stabilization of Unknown Networked Systems with Communication Constraints. CoRR Jing Yu, Dimitar Ho, Adam Wierman
2022	J	`jnl`	Price Cycles in Ridesharing Platforms. CoRR Chenkai Yu, Hongyao Ma, Adam Wierman
2022	J	`jnl`	Robust Online Voltage Control with an Unknown Grid Topology. CoRR Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman
2022	—	`conf`	Robust online voltage control with an unknown grid topology. e-Energy Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman
2022	—	`conf`	Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. SIGMETRICS (Abstracts) Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low
2022	J	`jnl`	Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. Proc. ACM Meas. Anal. Comput. Syst. Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low
2022	J	`jnl`	Scalable Reinforcement Learning for Multiagent Networked Systems. Oper. Res. Guannan Qu, Adam Wierman, Na Li
2022	J	`jnl`	Stability Constrained Reinforcement Learning for Real-Time Voltage Control in Distribution Systems. CoRR Jie Feng, Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman
2022	C	`conf`	Stability Constrained Reinforcement Learning for Real-Time Voltage Control. ACC Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman
2022	J	`jnl`	The Online Knapsack Problem with Departures. CoRR Bo Sun, Lin Yang, Mohammad H. Hajiesmaili, Adam Wierman, John C. S. Lui, Don Towsley, Danny H. K. Tsang
2022	J	`jnl`	The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. SIGMETRICS Perform. Evaluation Rev. Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang
2022	J	`jnl`	Transparency and Control in Platforms for Networked Markets. Oper. Res. John Z. F. Pang, Weixuan Lin, Hu Fu, Jack Kleeman, Eilyan Bitar, Adam Wierman
2021	J	`jnl`	A Spectral Representation of Power Systems with Applications to Adaptive Grid Partitioning and Cascading Failure Localization. CoRR Alessandro Zocca, Chen Liang, Linqi Guo, Steven H. Low, Adam Wierman
2021	J	`jnl`	Asymptotically optimal load balancing in large-scale heterogeneous systems with multiple dispatchers. Perform. Evaluation Xingyu Zhou, Ness B. Shroff, Adam Wierman
2021	—	`conf`	Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. SIGMETRICS (Abstracts) Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang
2021	J	`jnl`	Correction to: Multi-server queueing systems with multiple priority classes. Queueing Syst. Theory Appl. Mor Harchol-Balter, Takayuki Osogami, Alan Scheller-Wolf, Adam Wierman
2021	A*	`conf`	Data-driven Competitive Algorithms for Online Knapsack and Set Cover. AAAI Ali Zeynali, Bo Sun, Mohammad Hassan Hajiesmaili, Adam Wierman
2021	—	`conf`	Enabling Sustainable Clouds: The Case for Virtualizing the Energy System. SoCC Noman Bashir, Tian Guo, Mohammad H. Hajiesmaili, David Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman, Abel Souza, Adam Wierman
2021	J	`jnl`	Enabling Sustainable Clouds: The Case for Virtualizing the Energy System. CoRR Noman Bashir, Tian Guo, Mohammad H. Hajiesmaili, David Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman, Abel Souza, Adam Wierman
2021	—	`conf`	Exploiting Linear Models for Model-Free Nonlinear Control: A Provably Convergent Policy Gradient Approach. CDC Guannan Qu, Chenkai Yu, Steven H. Low, Adam Wierman
2021	J	`jnl`	In-Network Freshness Control: Trading Throughput for Freshness. CoRR Shih-Hao Tseng, SooJean Han, Adam Wierman
2021	—	`conf`	Information Aggregation for Constrained Online Control. SIGMETRICS (Abstracts) Tongxin Li, Yue Chen, Bo Sun, Adam Wierman, Steven H. Low
2021	J	`jnl`	Information Aggregation for Constrained Online Control. Proc. ACM Meas. Anal. Comput. Syst. Tongxin Li, Yue Chen, Bo Sun, Adam Wierman, Steven H. Low
2021	J	`jnl`	Learning-Based Predictive Control via Real-Time Aggregate Flexibility. IEEE Trans. Smart Grid Tongxin Li, Bo Sun, Yue Chen, Zixin Ye, Steven H. Low, Adam Wierman
2021	A*	`conf`	Multi-Agent Reinforcement Learning in Stochastic Networked Systems. NeurIPS Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman
2021	J	`jnl`	Newton Polytopes and Relative Entropy Optimization. Found. Comput. Math. Riley Murray, Venkat Chandrasekaran, Adam Wierman
2021	J	`jnl`	Online Optimization with Feedback Delay and Nonlinear Switching Cost. CoRR Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman
2021	A*	`conf`	Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems. NeurIPS Bo Sun, Russell Lee, Mohammad H. Hajiesmaili, Adam Wierman, Danny H. K. Tsang
2021	J	`jnl`	Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems. CoRR Bo Sun, Russell Lee, Mohammad H. Hajiesmaili, Adam Wierman, Danny H. K. Tsang
2021	A*	`conf`	Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems. NeurIPS Yiheng Lin, Yang Hu, Guanya Shi, Haoyuan Sun, Guannan Qu, Adam Wierman
2021	J	`jnl`	Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems. CoRR Yiheng Lin, Yang Hu, Haoyuan Sun, Guanya Shi, Guannan Qu, Adam Wierman
2021	—	`conf`	Pricing flexibility of shiftable demand in electricity markets. e-Energy Lucien Werner, Adam Wierman, Steven H. Low
2021	J	`jnl`	Publisher Correction to: Signomial and polynomial optimization via relative entropy and partial dualization. Math. Program. Comput. Riley Murray, Venkat Chandrasekaran, Adam Wierman
2021	J	`jnl`	Robustness and Consistency in Linear Quadratic Control with Predictions. CoRR Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low
2021	J	`jnl`	Signomial and polynomial optimization via relative entropy and partial dualization. Math. Program. Comput. Riley Murray, Venkat Chandrasekaran, Adam Wierman
2021	J	`jnl`	Stability Constrained Reinforcement Learning for Real-Time Voltage Control. CoRR Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman
2021	—	`conf`	Stable Online Control of Linear Time-Varying Systems. L4DC Guannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman
2021	J	`jnl`	Stable Online Control of Linear Time-Varying Systems. CoRR Guannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman
2021	J	`jnl`	The Online Knapsack Problem with Departures. Proc. ACM Meas. Anal. Comput. Syst. Bo Sun, Lin Yang, Mohammad H. Hajiesmaili, Adam Wierman, John C. S. Lui, Don Towsley, Danny H. K. Tsang
2021	A*	`conf`	The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. EC Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang
2021	J	`jnl`	The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. CoRR Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang
2020	J	`jnl`	An Integrated Approach for Failure Mitigation & Localization in Power Systems. CoRR Chen Liang, Linqi Guo, Alessandro Zocca, Shuyue Yu, Steven H. Low, Adam Wierman
2020	J	`jnl`	Asymptotically Optimal Load Balancing in Large-scale Heterogeneous Systems with Multiple Dispatchers. CoRR Xingyu Zhou, Ness B. Shroff, Adam Wierman
2020	J	`jnl`	Asymptotically Optimal Load Balancing in Large-scale Heterogeneous Systems with Multiple Dispatchers. SIGMETRICS Perform. Evaluation Rev. Xingyu Zhou, Ness B. Shroff, Adam Wierman
2020	J	`jnl`	Beyond No-Regret: Competitive Control via Online Optimization with Memory. CoRR Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman
2020	—	`conf`	Characterizing Policies with Optimal Response Time Tails under Heavy-Tailed Job Sizes. SIGMETRICS (Abstracts) Ziv Scully, Lucas van Kreveld, Onno J. Boxma, Jan-Pieter L. Dorsman, Adam Wierman
2020	J	`jnl`	Characterizing Policies with Optimal Response Time Tails under Heavy-Tailed Job Sizes. Proc. ACM Meas. Anal. Comput. Syst. Ziv Scully, Lucas van Kreveld, Onno J. Boxma, Jan-Pieter L. Dorsman, Adam Wierman
2020	J	`jnl`	Combining Model-Based and Model-Free Methods for Nonlinear Control: A Provably Convergent Policy Gradient Approach. CoRR Guannan Qu, Chenkai Yu, Steven H. Low, Adam Wierman
2020	J	`jnl`	Communication-Aware Scheduling of Precedence-Constrained Tasks on Related Machines. CoRR Yu Su, Xiaoqi Ren, Shai Vardi, Adam Wierman
2020	J	`jnl`	Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. CoRR Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang
2020	J	`jnl`	Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. Proc. ACM Meas. Anal. Comput. Syst. Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang
2020	J	`jnl`	Competitive Control with Delayed Imperfect Information. CoRR Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman
2020	J	`jnl`	Data-driven Competitive Algorithms for Online Knapsack and Set Cover. CoRR Ali Zeynali, Bo Sun, Mohammad Hassan Hajiesmaili, Adam Wierman
2020	J	`jnl`	Distributed Reinforcement Learning in Multi-Agent Networked Systems. CoRR Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman
2020	A*	`conf`	Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$-Learning. COLT Guannan Qu, Adam Wierman
2020	J	`jnl`	Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning. CoRR Guannan Qu, Adam Wierman
2020	J	`jnl`	Localization & Mitigation of Cascading Failures in Power Systems, Part I: Spectral Representation & Tree Partition. CoRR Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman
2020	J	`jnl`	Localization & Mitigation of Cascading Failures in Power Systems, Part II: Localization. CoRR Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman
2020	J	`jnl`	Localization & Mitigation of Cascading Failures in Power Systems, Part III: Real-time Mitigation. CoRR Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman
2020	—	`conf`	Logarithmic Communication for Distributed Optimization in Multi-Agent Systems. SIGMETRICS (Abstracts) Palma London, Shai Vardi, Adam Wierman
2020	J	`jnl`	Loyalty programs in the sharing economy: Optimality and competition. Perform. Evaluation Zhixuan Fang, Longbo Huang, Adam Wierman
2020	—	`conf`	Mitigating Cascading Failures via Local Responses. SmartGridComm Chen Liang, Fengyu Zhou, Alessandro Zocca, Steven H. Low, Adam Wierman
2020	J	`jnl`	On the Inefficiency of Forward Markets in Leader-Follower Competition. Oper. Res. Desmond W. H. Cai, Anish Agarwal, Adam Wierman
2020	—	`conf`	Online Linear Optimization with Inventory Management Constraints. SIGMETRICS (Abstracts) Lin Yang, Mohammad Hassan Hajiesmaili, Ramesh K. Sitaraman, Adam Wierman, Enrique Mallada, Wing Shing Wong
2020	J	`jnl`	Online Linear Optimization with Inventory Management Constraints. Proc. ACM Meas. Anal. Comput. Syst. Lin Yang, Mohammad Hassan Hajiesmaili, Ramesh K. Sitaraman, Adam Wierman, Enrique Mallada, Wing Shing Wong
2020	A*	`conf`	Online Optimization with Memory and Competitive Control. NeurIPS Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman
2020	—	`conf`	Online Optimization with Predictions and Non-convex Losses. SIGMETRICS (Abstracts) Yiheng Lin, Gautam Goel, Adam Wierman
2020	J	`jnl`	Online Optimization with Predictions and Non-convex Losses. Proc. ACM Meas. Anal. Comput. Syst. Yiheng Lin, Gautam Goel, Adam Wierman
2020	J	`jnl`	Optimal Pricing in Markets with Nonconvex Costs. Oper. Res. Navid Azizan, Yu Su, Krishnamurthy Dvijotham, Adam Wierman
2020	J	`jnl`	Real-time Aggregate Flexibility via Reinforcement Learning. CoRR Tongxin Li, Bo Sun, Yue Chen, Zixin Ye, Steven H. Low, Adam Wierman
2020	—	`conf`	Real-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination. e-Energy Tongxin Li, Steven H. Low, Adam Wierman
2020	J	`jnl`	Real-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination. CoRR Tongxin Li, Steven H. Low, Adam Wierman
2020	A*	`conf`	Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. NeurIPS Guannan Qu, Yiheng Lin, Adam Wierman, Na Li
2020	J	`jnl`	Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. CoRR Guannan Qu, Yiheng Lin, Adam Wierman, Na Li
2020	—	`conf`	Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. L4DC Guannan Qu, Adam Wierman, Na Li
2020	A*	`conf`	The Power of Predictions in Online Control. NeurIPS Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman
2020	J	`jnl`	The Power of Predictions in Online Control. CoRR Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman
2020	—	`conf`	Third-Party Data Providers Ruin Simple Mechanisms. SIGMETRICS (Abstracts) Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani
2020	J	`jnl`	Third-Party Data Providers Ruin Simple Mechanisms. Proc. ACM Meas. Anal. Comput. Syst. Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani
2019	J	`jnl`	An Online Algorithm for Smoothed Online Convex Optimization. SIGMETRICS Perform. Evaluation Rev. Gautam Goel, Adam Wierman
2019	A	`conf`	An Online Algorithm for Smoothed Regression and LQR Control. AISTATS Gautam Goel, Adam Wierman
2019	A*	`conf`	Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization. NeurIPS Gautam Goel, Yiheng Lin, Haoyuan Sun, Adam Wierman
2019	J	`jnl`	Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization. CoRR Gautam Goel, Yiheng Lin, Haoyuan Sun, Adam Wierman
2019	J	`jnl`	Communication-Aware Scheduling of Precedence-Constrained Tasks. SIGMETRICS Perform. Evaluation Rev. Yu Su, Xiaoqi Ren, Shai Vardi, Adam Wierman, Yuxiong He
2019	—	`conf`	Competitive Online Optimization under Inventory Constraints. SIGMETRICS (Abstracts) Qiulin Lin, Hanling Yi, John Z. F. Pang, Minghua Chen, Adam Wierman, Michael L. Honig, Yuanzhang Xiao
2019	J	`jnl`	Competitive Online Optimization under Inventory Constraints. CoRR Qiulin Lin, Hanling Yi, John Z. F. Pang, Minghua Chen, Adam Wierman, Michael L. Honig, Yuanzhang Xiao
2019	J	`jnl`	Competitive Online Optimization under Inventory Constraints. Proc. ACM Meas. Anal. Comput. Syst. Qiulin Lin, Hanling Yi, John Z. F. Pang, Minghua Chen, Adam Wierman, Michael L. Honig, Yuanzhang Xiao
2019	—	`conf`	Less is More: Real-time Failure Localization in Power Systems. CDC Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman
2019	J	`jnl`	Less is More: Real-time Failure Localization in Power Systems. CoRR Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman
2019	J	`jnl`	Logarithmic Communication for Distributed Optimization in Multi-Agent Systems. Proc. ACM Meas. Anal. Comput. Syst. Palma London, Shai Vardi, Adam Wierman
2019	J	`jnl`	On the Role of a Market Maker in Networked Cournot Competition. Math. Oper. Res. Desmond W. H. Cai, Subhonmesh Bose, Adam Wierman
2019	J	`jnl`	Online Inventory Management with Application to Energy Procurement in Data Centers. CoRR Lin Yang, Mohammad Hassan Hajiesmaili, Ramesh K. Sitaraman, Enrique Mallada, Wing Shing Wong, Adam Wierman
2019	J	`jnl`	Online Optimization with Predictions and Non-convex Losses. CoRR Yiheng Lin, Gautam Goel, Adam Wierman
2019	A*	`conf`	Optimal Pricing in Markets with Non-Convex Costs. EC Navid Azizan Ruhi, Yu Su, Krishnamurthy Dvijotham, Adam Wierman
2019	J	`jnl`	Prices and subsidies in the sharing economy. Perform. Evaluation Zhixuan Fang, Longbo Huang, Adam Wierman
2019	J	`jnl`	Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. CoRR Guannan Qu, Adam Wierman, Na Li
2019	J	`jnl`	Transparency and Control in Platforms for Networked Markets. CoRR John Z. F. Pang, Weixuan Lin, Hu Fu, Jack Kleeman, Eilyan Bitar, Adam Wierman
2018	A*	`conf`	A Parallelizable Acceleration Framework for Packing Linear Programs. AAAI Palma London, Shai Vardi, Adam Wierman, Hanling Yi
2018	Misc	`conf`	A Parallelizable Acceleration Framework for Packing Linear Programs. ITA Palma London, Shai Vardi, Adam Wierman, Hanling Yi
2018	A*	`conf`	A Spot Capacity Market to Increase Power Infrastructure Utilization in Multi-tenant Data Centers. HPCA Mohammad A. Islam, Xiaoqi Ren, Shaolei Ren, Adam Wierman
2018	—	`ed.`	Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2018, Irvine, CA, USA, June 18-22, 2018 SIGMETRICS (Abstracts) Konstantinos Psounis, Aditya Akella, Adam Wierman
2018	J	`jnl`	Convex Prophet Inequalities. SIGMETRICS Perform. Evaluation Rev. Junjie Qin, Ram Rajagopal, Shai Vardi, Adam Wierman
2018	J	`jnl`	Convex Prophet Inequalities. SIGMETRICS Perform. Evaluation Rev. Junjie Qin, Ram Rajagopal, Shai Vardi, Adam Wierman
2018	J	`jnl`	Datum: Managing Data Purchasing and Data Placement in a Geo-Distributed Data Market. IEEE/ACM Trans. Netw. Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman
2018	—	`conf`	Failure Localization in Power Systems via Tree Partitions. CDC Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman
2018	J	`jnl`	Failure Localization in Power Systems via Tree Partitions. CoRR Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman
2018	J	`jnl`	Failure Localization in Power Systems via Tree Partitions. SIGMETRICS Perform. Evaluation Rev. Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman
2018	J	`jnl`	Failure Localization in Power Systems via Tree Partitions. SIGMETRICS Perform. Evaluation Rev. Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman
2018	B	`conf`	Loyalty Programs in the Sharing Economy: Optimality and Competition. MobiHoc Zhixuan Fang, Longbo Huang, Adam Wierman
2018	J	`jnl`	Loyalty Programs in the Sharing Economy: Optimality and Competition. CoRR Zhixuan Fang, Longbo Huang, Adam Wierman
2018	J	`jnl`	Message from the Editors. Proc. ACM Meas. Anal. Comput. Syst. Adam Wierman, Aditya Akella
2018	J	`jnl`	Minimal-Variance Distributed Deadline Scheduling in a Stationary Environment. SIGMETRICS Perform. Evaluation Rev. Yorie Nakahira, Andrés Ferragut, Adam Wierman
2018	J	`jnl`	Minimal-variance distributed scheduling under strict demands and deadlines. SIGMETRICS Perform. Evaluation Rev. Yorie Nakahira, Andrés Ferragut, Adam Wierman
2018	J	`jnl`	Opportunities for Price Manipulation by Aggregators in Electricity Markets. IEEE Trans. Smart Grid Navid Azizan Ruhi, Krishnamurthy Dvijotham, Niangjun Chen, Adam Wierman
2018	J	`jnl`	Provisioning of ad-supported cloud services: The role of competition. Perform. Evaluation Jayakrishnan Nair, Vijay G. Subramanian, Adam Wierman
2018	A*	`conf`	Smoothed Online Convex Optimization in High Dimensions via Online Balanced Descent. COLT Niangjun Chen, Gautam Goel, Adam Wierman
2018	J	`jnl`	Smoothed Online Convex Optimization in High Dimensions via Online Balanced Descent. CoRR Niangjun Chen, Gautam Goel, Adam Wierman
2018	J	`jnl`	Smoothed Online Optimization for Regression and Control. CoRR Gautam Goel, Adam Wierman
2018	J	`jnl`	Third-Party Data Providers Ruin Simple Mechanisms. CoRR Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani
2017	J	`jnl`	A First Look at Power Attacks in Multi-Tenant Data Centers. SIGMETRICS Perform. Evaluation Rev. Mohammad A. Islam, Shaolei Ren, Adam Wierman
2017	J	`jnl`	A Parallelizable Acceleration Framework for Packing Linear Programs. CoRR Palma London, Shai Vardi, Adam Wierman, Hanling Yi
2017	—	`conf`	A Spot Capacity Market to Increase Power Infrastructure Utilization in Multi-Tenant Data Centers. SIGMETRICS (Abstracts) Mohammad A. Islam, Xiaoqi Ren, Shaolei Ren, Adam Wierman
2017	J	`jnl`	Controlling the Variability of Capacity Allocations Using Service Deferrals. ACM Trans. Model. Perform. Evaluation Comput. Syst. Andrés Ferragut, Fernando Paganini, Adam Wierman
2017	J	`jnl`	Distributed Optimization via Local Computation Algorithms. SIGMETRICS Perform. Evaluation Rev. Palma London, Niangjun Chen, Shai Vardi, Adam Wierman
2017	J	`jnl`	Energy Portfolio Optimization of Data Centers. IEEE Trans. Smart Grid Mahdi Ghamkhari, Adam Wierman, Hamed Mohsenian Rad
2017	A*	`conf`	Exploiting a Thermal Side Channel for Power Attacks in Multi-Tenant Data Centers. CCS Mohammad A. Islam, Shaolei Ren, Adam Wierman
2017	J	`jnl`	Networked Cournot Competition in Platform Markets: Access Control and Efficiency Loss. SIGMETRICS Perform. Evaluation Rev. Weixuan Lin, John Z. F. Pang, Eilyan Bitar, Adam Wierman
2017	—	`conf`	Networked cournot competition in platform markets. Allerton Weixuan Lin, John Z. F. Pang, Eilyan Bitar, Adam Wierman
2017	—	`conf`	Networked cournot competition in platform markets: Access control and efficiency loss. CDC Weixuan Lin, John Z. F. Pang, Eilyan Bitar, Adam Wierman
2017	J	`jnl`	On the Role of a Market Maker in Networked Cournot Competition. CoRR Desmond W. H. Cai, Subhonmesh Bose, Adam Wierman
2017	Misc	`conf`	On the efficiency of networked Stackelberg competition. CISS Yunjian Xu, Desmond W. H. Cai, Subhonmesh Bose, Adam Wierman
2017	A*	`conf`	Prices and Subsidies in the Sharing Economy. WWW Zhixuan Fang, Longbo Huang, Adam Wierman
2017	J	`jnl`	The Economics of the Cloud. ACM Trans. Model. Perform. Evaluation Comput. Syst. Jonatha Anselmi, Danilo Ardagna, John C. S. Lui, Adam Wierman, Yunjian Xu, Zichao Yang
2017	A*	`conf`	The efficiency of open access in platforms for networked cournot markets. INFOCOM John Z. F. Pang, Hu Fu, Won I. Lee, Adam Wierman
2017	J	`jnl`	Thinking Fast and Slow: Optimization Decomposition Across Timescales. SIGMETRICS Perform. Evaluation Rev. Gautam Goel, Niangjun Chen, Adam Wierman
2017	—	`conf`	Thinking fast and slow: Optimization decomposition across timescales. CDC Gautam Goel, Niangjun Chen, Adam Wierman
2016	A*	`conf`	A market approach for handling power emergencies in multi-tenant data center. HPCA Mohammad A. Islam, Xiaoqi Ren, Shaolei Ren, Adam Wierman, Xiaorui Wang
2016	A*	`conf`	Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market. SIGMETRICS Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman
2016	J	`jnl`	Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market. CoRR Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman
2016	J	`jnl`	Opportunities for Price Manipulation by Aggregators in Electricity Markets. CoRR Navid Azizan Ruhi, Krishnamurthy Dvijotham, Niangjun Chen, Adam Wierman
2016	J	`jnl`	Opportunities for Price Manipulation by Aggregators in Electricity Markets. SIGMETRICS Perform. Evaluation Rev. Navid Azizan Ruhi, Niangjun Chen, Krishnamurthy Dvijotham, Adam Wierman
2016	J	`jnl`	Provisioning of Large-Scale Systems: The Interplay Between Network Effects and Strategic Behavior in the User Base. Manag. Sci. Jayakrishnan Nair, Adam Wierman, Bert Zwart
2016	J	`jnl`	Routing and Staffing When Servers Are Strategic. Oper. Res. Ragavendran Gopalakrishnan, Sherwin Doroudi, Amy R. Ward, Adam Wierman
2016	J	`jnl`	The Empirical Implications of Privacy-Aware Choice. Oper. Res. Rachel Cummings, Federico Echenique, Adam Wierman
2016	A*	`conf`	Using Predictions in Online Optimization: Looking Forward with an Eye on the Past. SIGMETRICS Niangjun Chen, Joshua Comden, Zhenhua Liu, Anshul Gandhi, Adam Wierman
2016	J	`jnl`	When Heavy-Tailed and Light-Tailed Flows Compete: The Response Time Tail Under Generalized Max-Weight Scheduling. IEEE/ACM Trans. Netw. Jayakrishnan Nair, Krishna P. Jagannathan, Adam Wierman
2015	J	`jnl`	A Tale of Two Metrics: Simultaneous Bounds on Competitiveness and Regret. CoRR Lachlan L. H. Andrew, Siddharth Barman, Katrina Ligett, Minghong Lin, Adam Meyerson, Alan Roytman, Adam Wierman
2015	J	`jnl`	Characterizing the impact of the workload on the value of dynamic resizing in data centers. Perform. Evaluation Kai Wang, Minghong Lin, Florin Ciucu, Adam Wierman, Chuang Lin
2015	—	`conf`	Distributed optimization decomposition for joint economic dispatch and frequency regulation. Allerton Desmond W. H. Cai, Enrique Mallada, Adam Wierman
2015	—	`conf`	Distributed optimization decomposition for joint economic dispatch and frequency regulation. CDC Desmond W. H. Cai, Enrique Mallada, Adam Wierman
2015	J	`jnl`	Greening Geographical Load Balancing. IEEE/ACM Trans. Netw. Zhenhua Liu, Minghong Lin, Adam Wierman, Steven H. Low, Lachlan L. H. Andrew
2015	J	`jnl`	Greening Multi-Tenant Data Center Demand Response. CoRR Niangjun Chen, Xiaoqi Ren, Shaolei Ren, Adam Wierman
2015	J	`jnl`	Greening Multi-Tenant Data Center Demand Response. SIGMETRICS Perform. Evaluation Rev. Niangjun Chen, Xiaoqi Ren, Shaolei Ren, Adam Wierman
2015	J	`jnl`	Greening multi-tenant data center demand response. Perform. Evaluation Niangjun Chen, Xiaoqi Ren, Shaolei Ren, Adam Wierman
2015	A*	`conf`	Hopper: Decentralized Speculation-aware Cluster Scheduling at Scale. SIGCOMM Xiaoqi Ren, Ganesh Ananthanarayanan, Adam Wierman, Minlan Yu
2015	A*	`conf`	Online Convex Optimization Using Predictions. SIGMETRICS Niangjun Chen, Anish Agarwal, Adam Wierman, Siddharth Barman, Lachlan L. H. Andrew
2015	J	`jnl`	Online Convex Optimization Using Predictions. CoRR Niangjun Chen, Anish Agarwal, Adam Wierman, Siddharth Barman, Lachlan L. H. Andrew
2015	—	`conf`	Online convex optimization with ramp constraints. CDC Masoud Badiei, Na Li, Adam Wierman
2015	J	`jnl`	Optimizing Energy Storage Participation in Emerging Power Markets. CoRR Hao Chen, Zhenhua Liu, Ayse K. Coskun, Adam Wierman
2015	—	`conf`	Optimizing energy storage participation in emerging power markets. IGSC Hao Chen, Zhenhua Liu, Ayse K. Coskun, Adam Wierman
2015	J	`jnl`	Speculation-aware Cluster Scheduling. SIGMETRICS Perform. Evaluation Rev. Xiaoqi Ren, Ganesh Ananthanarayanan, Adam Wierman, Minlan Yu
2014	—	`conf`	Distributional analysis for model predictive deferrable load control. CDC Niangjun Chen, Lingwen Gan, Steven H. Low, Adam Wierman
2014	A*	`conf`	Energy procurement strategies in the presence of intermittent sources. SIGMETRICS Jayakrishnan Nair, Sachin Adlakha, Adam Wierman
2014	Misc	`conf`	GRASS: Trimming Stragglers in Approximation Analytics. NSDI Ganesh Ananthanarayanan, Michael Chien-Chun Hung, Xiaoqi Ren, Ion Stoica, Adam Wierman, Minlan Yu
2014	—	`conf`	On competitive provisioning of ad-supported cloud services. Allerton Jayakrishnan Nair, Vijay G. Subramanian, Adam Wierman
2014	J	`jnl`	On competitive provisioning of cloud services. SIGMETRICS Perform. Evaluation Rev. Jayakrishnan Nair, Vijay G. Subramanian, Adam Wierman
2014	—	`conf`	On the Existence of Low-Rank Explanations for Mixed Strategy Behavior. WINE Siddharth Barman, Umang Bhaskar, Federico Echenique, Adam Wierman
2014	—	`conf`	Opportunities and challenges for data center demand response. IGCC Adam Wierman, Zhenhua Liu, Iris Liu, Hamed Mohsenian Rad
2014	—	`conf`	Optimal risk-aware power procurement for data centers in day-ahead and real-time electricity markets. INFOCOM Workshops Mahdi Ghamkhari, Hamed Mohsenian Rad, Adam Wierman
2014	J	`jnl`	Potential Games Are Math. Oper. Res. Ragavendran Gopalakrishnan, Jason R. Marden, Adam Wierman
2014	J	`jnl`	Potential Games are Necessary to Ensure Pure Nash Equilibria in Cost Sharing Games. CoRR Ragavendran Gopalakrishnan, Jason R. Marden, Adam Wierman
2014	A*	`conf`	Pricing data center demand response. SIGMETRICS Zhenhua Liu, Iris Liu, Steven H. Low, Adam Wierman
2014	J	`jnl`	Routing and Staffing when Servers are Strategic. CoRR Ragavendran Gopalakrishnan, Sherwin Doroudi, Amy R. Ward, Adam Wierman
2014	A*	`conf`	Routing and staffing when servers are strategic. EC Ragavendran Gopalakrishnan, Sherwin Doroudi, Amy R. Ward, Adam Wierman
2014	J	`jnl`	Special Issue on Pricing and Incentives in Networks and Systems: Guest Editors' Introduction. ACM Trans. Internet Techn. Costas Courcoubetis, Roch Guérin, Patrick Loiseau, David C. Parkes, Jean C. Walrand, Adam Wierman
2014	J	`jnl`	The Empirical Implications of Privacy-Aware Choice. CoRR Rachel Cummings, Federico Echenique, Adam Wierman
2014	J	`jnl`	The Role of a Market Maker in Networked Cournot Competition. CoRR Subhonmesh Bose, Desmond W. H. Cai, Steven H. Low, Adam Wierman
2014	J	`jnl`	The economics of the cloud: price competition and congestion. SIGecom Exch. Jonatha Anselmi, Danilo Ardagna, John C. S. Lui, Adam Wierman, Yunjian Xu, Zichao Yang
2014	J	`jnl`	The economics of the cloud: price competition and congestion. SIGMETRICS Perform. Evaluation Rev. Jonatha Anselmi, Danilo Ardagna, John C. S. Lui, Adam Wierman, Yunjian Xu, Zichao Yang
2014	A*	`conf`	The empirical implications of privacy-aware choice. EC Rachel Cummings, Federico Echenique, Adam Wierman
2014	—	`conf`	The role of a market maker in networked cournot competition. CDC Subhonmesh Bose, Desmond W. H. Cai, Steven H. Low, Adam Wierman
2013	A*	`conf`	A Tale of Two Metrics: Simultaneous Bounds on Competitiveness and Regret. COLT Lachlan L. H. Andrew, Siddharth Barman, Katrina Ligett, Minghong Lin, Adam Meyerson, Alan Roytman, Adam Wierman
2013	A*	`conf`	A tale of two metrics: simultaneous bounds on competitiveness and regret. SIGMETRICS Lachlan L. H. Andrew, Siddharth Barman, Katrina Ligett, Minghong Lin, Adam Meyerson, Alan Roytman, Adam Wierman
2013	J	`jnl`	Approximate dynamic programming using fluid and diffusion approximations with applications to power management. CoRR Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrishnan Unnikrishnan, Quanyan Zhu, Prashant G. Mehta, Sean P. Meyn, Adam Wierman
2013	A*	`conf`	Characterizing the impact of the workload on the value of dynamic resizing in data centers. INFOCOM Kai Wang, Minghong Lin, Florin Ciucu, Adam Wierman, Chuang Lin
2013	J	`jnl`	Data center demand response: Avoiding the coincident peak via workload shifting and local generation. Perform. Evaluation Zhenhua Liu, Adam Wierman, Yuan Chen, Benjamin Razon, Niangjun Chen
2013	A*	`conf`	Data center demand response: avoiding the coincident peak via workload shifting and local generation. SIGMETRICS Zhenhua Liu, Adam Wierman, Yuan Chen, Benjamin Razon, Niangjun Chen
2013	J	`jnl`	Distributed Welfare Games. Oper. Res. Jason R. Marden, Adam Wierman
2013	J	`jnl`	Dynamic Right-Sizing for Power-Proportional Data Centers. IEEE/ACM Trans. Netw. Minghong Lin, Adam Wierman, Lachlan L. H. Andrew, Eno Thereska
2013	—	`conf`	Inefficiency in forward markets with supply friction. CDC Desmond W. H. Cai, Adam Wierman
2013	J	`jnl`	Joint optimization of overlapping phases in MapReduce. Perform. Evaluation Minghong Lin, Li Zhang, Adam Wierman, Jian Tan
2013	J	`jnl`	Joint optimization of overlapping phases in MapReduce. SIGMETRICS Perform. Evaluation Rev. Minghong Lin, Li Zhang, Adam Wierman, Jian Tan
2013	J	`jnl`	Overcoming the Limitations of Utility Design for Multiagent Systems. IEEE Trans. Autom. Control. Jason R. Marden, Adam Wierman
2013	A*	`conf`	Potential games are necessary to ensure pure nash equilibria in cost sharing games. EC Ragavendran Gopalakrishnan, Jason R. Marden, Adam Wierman
2013	—	`conf`	Real-time deferrable load control: handling the uncertainties of renewable generation. e-Energy Lingwen Gan, Adam Wierman, Ufuk Topcu, Niangjun Chen, Steven H. Low
2013	J	`jnl`	Real-time deferrable load control: handling the uncertainties of renewable generation. SIGMETRICS Perform. Evaluation Rev. Lingwen Gan, Adam Wierman, Ufuk Topcu, Niangjun Chen, Steven H. Low
2013	J	`jnl`	The Complexity of Nash Equilibria as Revealed by Data. CoRR Siddharth Barman, Umang Bhaskar, Federico Echenique, Adam Wierman
2013	J	`jnl`	The Cost of an Epidemic over a Complex Network: A Random Matrix Approach. CoRR Subhonmesh Bose, Elizabeth Bodine-Baron, Babak Hassibi, Adam Wierman
2013	J	`jnl`	The Empirical Implications of Rank in Bimatrix Games CoRR Siddharth Barman, Umang Bhaskar, Federico Echenique, Adam Wierman
2013	A*	`conf`	The empirical implications of rank in Bimatrix games. EC Siddharth Barman, Umang Bhaskar, Federico Echenique, Adam Wierman
2013	A*	`conf`	The fundamentals of heavy-tails: properties, emergence, and identification. SIGMETRICS Jayakrishnan Nair, Adam Wierman, Bert Zwart
2013	A*	`conf`	When heavy-tailed and light-tailed flows compete: The response time tail under generalized max-weight scheduling. INFOCOM Jayakrishnan Nair, Krishna P. Jagannathan, Adam Wierman
2012	J	`jnl`	Characterizing the Impact of the Workload on the Value of Dynamic Resizing in Data Centers CoRR Kai Wang, Minghong Lin, Florin Ciucu, Adam Wierman, Chuang Lin
2012	A*	`conf`	Characterizing the impact of the workload on the value of dynamic resizing in data centers. SIGMETRICS Kai Wang, Minghong Lin, Florin Ciucu, Adam Wierman, Chuang Lin
2012	J	`jnl`	Fairness and efficiency for polling models with the k-gated service discipline. Perform. Evaluation A. C. C. van Wijk, Ivo J. B. F. Adan, Onno J. Boxma, Adam Wierman
2012	A*	`conf`	Finding a walrasian equilibrium is easy for a fixed number of agents. EC Federico Echenique, Adam Wierman
2012	J	`jnl`	Incentives for P2P-Assisted Content Distribution: If You Can't Beat 'Em, Join 'Em CoRR Vinod Ramaswamy, Sachin Adlakha, Srinivas Shakkottai, Adam Wierman
2012	—	`conf`	Incentives for P2P-assisted content distribution: If you can't beat 'em, join 'em. Allerton Conference Vinod Ramaswamy, Sachin Adlakha, Srinivas Shakkottai, Adam Wierman
2012	J	`jnl`	Is Tail-Optimal Scheduling Possible? Oper. Res. Adam Wierman, Bert Zwart
2012	J	`jnl`	Many Flows Asymptotics for SMART Scheduling Policies. IEEE Trans. Autom. Control. Chang-Woo Yang, Adam Wierman, Sanjay Shakkottai, Mor Harchol-Balter
2012	—	`conf`	Online algorithms for geographical load balancing. IGCC Minghong Lin, Zhenhua Liu, Adam Wierman, Lachlan L. H. Andrew
2012	J	`jnl`	Online optimization with switching cost. SIGMETRICS Perform. Evaluation Rev. Minghong Lin, Adam Wierman, Alan Roytman, Adam Meyerson, Lachlan L. H. Andrew
2012	J	`jnl`	Power-aware speed scaling in processor sharing systems: Optimality and robustness. Perform. Evaluation Adam Wierman, Lachlan L. H. Andrew, Ao Tang
2012	A*	`conf`	Renewable and cooling aware workload management for sustainable data centers. SIGMETRICS Zhenhua Liu, Yuan Chen, Cullen E. Bash, Adam Wierman, Daniel Gmach, Zhikui Wang, Manish Marwah, Chris Hyser
2012	—	`ch.`	Speed Scaling. Handbook of Energy-Aware and Green Computing Adam Wierman, Lachlan L. H. Andrew, Minghong Lin
2011	A*	`conf`	A revealed preference approach to computational complexity in economics. EC Federico Echenique, Daniel Golovin, Adam Wierman
2011	—	`conf`	Characterizing distribution rules for cost sharing games. NetGCoop Ragavendran Gopalakrishnan, Jason R. Marden, Adam Wierman
2011	J	`jnl`	Competition yields efficiency in load balancing games. Perform. Evaluation Jonatha Anselmi, Urtzi Ayesta, Adam Wierman
2011	J	`jnl`	Complexity and economics: computational constraints may not matter empirically. SIGecom Exch. Federico Echenique, Daniel Golovin, Adam Wierman
2011	J	`jnl`	Dispatching to incentivize fast service in multi-server queues. SIGMETRICS Perform. Evaluation Rev. Sherwin Doroudi, Ragavendran Gopalakrishnan, Adam Wierman
2011	A*	`conf`	Dynamic right-sizing for power-proportional data centers. INFOCOM Minghong Lin, Adam Wierman, Lachlan L. H. Andrew, Eno Thereska
2011	J	`jnl`	Exploiting network effects in the provisioning of large scale systems. SIGMETRICS Perform. Evaluation Rev. Jayakrishnan Nair, Adam Wierman, Bert Zwart
2011	J	`jnl`	Geographical load balancing with renewables. SIGMETRICS Perform. Evaluation Rev. Zhenhua Liu, Minghong Lin, Adam Wierman, Steven H. Low, Lachlan L. H. Andrew
2011	A*	`conf`	Greening geographical load balancing. SIGMETRICS Zhenhua Liu, Minghong Lin, Adam Wierman, Steven H. Low, Lachlan L. H. Andrew
2011	J	`jnl`	Heavy-traffic analysis of mean response time under Shortest Remaining Processing Time. Perform. Evaluation Minghong Lin, Adam Wierman, Bert Zwart
2011	—	`conf`	Minimizing the Social Cost of an Epidemic. GAMENETS Elizabeth Bodine-Baron, Subhonmesh Bose, Babak Hassibi, Adam Wierman
2011	—	`conf`	Online dynamic capacity provisioning in data centers. Allerton Minghong Lin, Adam Wierman, Lachlan L. H. Andrew, Eno Thereska
2011	J	`jnl`	Peer Effects and Stability in Matching Markets CoRR Elizabeth Bodine-Baron, Christina Lee, Anthony Chong, Babak Hassibi, Adam Wierman
2011	B	`conf`	Peer Effects and Stability in Matching Markets. SAGT Elizabeth Bodine-Baron, Christina Lee, Anthony Chong, Babak Hassibi, Adam Wierman
2010	J	`jnl`	An architectural view of game theoretic control. SIGMETRICS Perform. Evaluation Rev. Ragavendran Gopalakrishnan, Jason R. Marden, Adam Wierman
2010	J	`jnl`	Distance-Dependent Kronecker Graphs for Modeling Social Networks. IEEE J. Sel. Top. Signal Process. Elizabeth Bodine-Baron, Babak Hassibi, Adam Wierman
2010	A*	`conf`	Optimality, fairness, and robustness in speed scaling designs. SIGMETRICS Lachlan L. H. Andrew, Minghong Lin, Adam Wierman
2010	—	`conf`	Scheduling for the tail: Robustness versus optimality. Allerton Jayakrishnan Nair, Adam Wierman, Bert Zwart
2010	J	`jnl`	Tail-robust scheduling via limited processor sharing. Perform. Evaluation Jayakrishnan Nair, Adam Wierman, Bert Zwart
2010	J	`jnl`	The average response time in a heavy-traffic srpt queue. SIGMETRICS Perform. Evaluation Rev. Minghong Lin, Adam Wierman, Bert Zwart
2009	—	`conf`	Approximate dynamic programming using fluid and diffusion approximations with applications to power management. CDC Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrishnan Unnikrishnan, Quanyan Zhu, Prashant G. Mehta, Sean P. Meyn, Adam Wierman
2009	—	`conf`	Generalizing Kronecker graphs in order to model searchable networks. Allerton Elizabeth Bodine-Baron, Babak Hassibi, Adam Wierman
2009	A*	`conf`	On the Impact of Heterogeneity and Back-End Scheduling in Load Balancing Designs. INFOCOM Ho-Lin Chen, Jason R. Marden, Adam Wierman
2009	J	`jnl`	Optimal speed scaling under arbitrary power functions. SIGMETRICS Perform. Evaluation Rev. Lachlan L. H. Andrew, Adam Wierman, Ao Tang
2009	—	`conf`	Overcoming limitations of game-theoretic distributed control. CDC Jason R. Marden, Adam Wierman
2009	A*	`conf`	Power-Aware Speed Scaling in Processor Sharing Systems. INFOCOM Adam Wierman, Lachlan L. H. Andrew, Ao Tang
2008	—	`conf`	Distributed welfare games with applications to sensor coverage. CDC Jason R. Marden, Adam Wierman
2008	J	`jnl`	Preventing Large Sojourn Times Using SMART Scheduling. Oper. Res. Misja Nuyens, Adam Wierman, Bert Zwart
2008	A*	`conf`	Scheduling despite inexact job-size information. SIGMETRICS Adam Wierman, Misja Nuyens
2008	—	`conf`	Stochastic analysis of power-aware scheduling. Allerton Adam Wierman, Lachlan L. H. Andrew, Ao Tang
2008	J	`jnl`	The Foreground-Background queue: A survey. Perform. Evaluation Misja Nuyens, Adam Wierman
2008	J	`jnl`	The effect of local scheduling in load balancing designs. SIGMETRICS Perform. Evaluation Rev. Ho-Lin Chen, Jason R. Marden, Adam Wierman
2007	J	`jnl`	Fairness and classifications. SIGMETRICS Perform. Evaluation Rev. Adam Wierman
2007	J	`jnl`	Scheduling in polling systems. Perform. Evaluation Adam Wierman, Erik M. M. Winands, Onno J. Boxma
2006	J	`jnl`	How many servers are best in a dual-priority M/PH/k system? Perform. Evaluation Adam Wierman, Takayuki Osogami, Mor Harchol-Balter, Alan Scheller-Wolf
2006	A*	`conf`	How to Determine a Good Multi-Programming Level for External Scheduling. ICDE Bianca Schroeder, Mor Harchol-Balter, Arun Iyengar, Erich M. Nahum, Adam Wierman
2006	J	`jnl`	On the effect of inexact size information in size based policies. SIGMETRICS Perform. Evaluation Rev. Adam Wierman
2006	Misc	`conf`	Open Versus Closed: A Cautionary Tale. NSDI Bianca Schroeder, Adam Wierman, Mor Harchol-Balter
2006	—	`conf`	Tail asymptotics for policies favoring short jobs in a many-flows regime. SIGMETRICS/Performance Chang-Woo Yang, Adam Wierman, Sanjay Shakkottai, Mor Harchol-Balter
2005	A*	`conf`	Classifying scheduling policies with respect to higher moments of conditional response time. SIGMETRICS Adam Wierman, Mor Harchol-Balter
2005	J	`jnl`	Multi-Server Queueing Systems with Multiple Priority Classes. Queueing Syst. Theory Appl. Mor Harchol-Balter, Takayuki Osogami, Alan Scheller-Wolf, Adam Wierman
2005	A*	`conf`	Nearly insensitive bounds on SMART scheduling. SIGMETRICS Adam Wierman, Mor Harchol-Balter, Takayuki Osogami
2004	J	`jnl`	A note on comparing response times in the M/GI/1/FB and M/GI/1/PS queues. Oper. Res. Lett. Adam Wierman, Nikhil Bansal, Mor Harchol-Balter
2004	J	`jnl`	A recursive analysis technique for multi-dimensionally infinite Markov chains. SIGMETRICS Perform. Evaluation Rev. Takayuki Osogami, Adam Wierman, Mor Harchol-Balter, Alan Scheller-Wolf
2004	J	`jnl`	An improved upper bound for the pebbling threshold of the Discret. Math. Adam Wierman, Julia Salzman, Michael Jablonski, Anant P. Godbole
2004	J	`jnl`	Formalizing SMART scheduling. SIGMETRICS Perform. Evaluation Rev. Adam Wierman, Mor Harchol-Balter
2003	B	`conf`	A Unified Framework for Modeling TCP-Vegas, TCP-SACK, and TCP-Reno. MASCOTS Adam Wierman, Takayuki Osogami, Jörgen Olsén
2003	A*	`conf`	Classifying scheduling policies with respect to unfairness in an M/GI/1. SIGMETRICS Adam Wierman, Mor Harchol-Balter
2003	J	`jnl`	Modeling TCP-vegas under on/off traffic. SIGMETRICS Perform. Evaluation Rev. Adam Wierman, Takayuki Osogami, Jörgen Olsén
2002	J	`jnl`	Asymptotic convergence of scheduling policies with respect to slowdown. Perform. Evaluation Mor Harchol-Balter, Karl Sigman, Adam Wierman
2002	J	`jnl`	Understanding the slowdown of large jobs in an M/GI/1 system. SIGMETRICS Perform. Evaluation Rev. Mor Harchol-Balter, Karl Sigman, Adam Wierman