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ORCIDAdam Wierman
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- affiliation: California Institute of Technology, Pasadena, CA, USA
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2020 – today
- 2022
[j95]John Z. F. Pang, Weixuan Lin
, Hu Fu, Jack Kleeman, Eilyan Bitar, Adam Wierman:
Transparency and Control in Platforms for Networked Markets. Oper. Res. 70(3): 1665-1690 (2022)- [j94]Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman:
Online Optimization with Feedback Delay and Nonlinear Switching Cost. Proc. ACM Meas. Anal. Comput. Syst. 6(1): 17:1-17:34 (2022) - [j93]Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low:
Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. Proc. ACM Meas. Anal. Comput. Syst. 6(1): 18:1-18:35 (2022) - [c103]Nicolas Christianson, Tinashe Handina, Adam Wierman:
Chasing Convex Bodies and Functions with Black-Box Advice. COLT 2022: 867-908 - [c102]Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman:
Robust online voltage control with an unknown grid topology. e-Energy 2022: 240-250 - [c101]Yiheng Lin, Judy Gan, Guannan Qu, Yash Kanoria, Adam Wierman:
Decentralized Online Convex Optimization in Networked Systems. ICML 2022: 13356-13393 - [c100]Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman:
Online Optimization with Feedback Delay and Nonlinear Switching Cost. SIGMETRICS (Abstracts) 2022: 81-82 - [c99]Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low:
Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. SIGMETRICS (Abstracts) 2022: 107-108 - [i69]Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman:
Online Optimization with Untrusted Predictions. CoRR abs/2202.03519 (2022) - [i68]Chenkai Yu, Hongyao Ma, Adam Wierman:
Price Cycles in Ridesharing Platforms. CoRR abs/2202.07086 (2022) - [i67]Yang Hu, Adam Wierman, Guannan Qu:
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory. CoRR abs/2202.07187 (2022) - [i66]Jing Yu, Dimitar Ho, Adam Wierman:
Online Stabilization of Unknown Networked Systems with Communication Constraints. CoRR abs/2203.02630 (2022) - [i65]Yue Chen, Changhong Zhao, Steven H. Low, Adam Wierman:
An Energy Sharing Mechanism Considering Network Constraints and Market Power Limitation. CoRR abs/2203.04503 (2022) - [i64]Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu:
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. CoRR abs/2204.05551 (2022) - [i63]Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Interface Networks for Failure Localization in Power Systems. CoRR abs/2205.06315 (2022) - [i62]Tongxin Li, Ruixiao Yang, Guannan Qu, Yiheng Lin, Steven H. Low, Adam Wierman:
Equipping Black-Box Policies with Model-Based Advice for Stable Nonlinear Control. CoRR abs/2206.01341 (2022) - [i61]Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar:
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems. CoRR abs/2206.01704 (2022) - [i60]Nicolas Christianson, Tinashe Handina, Adam Wierman:
Chasing Convex Bodies and Functions with Black-Box Advice. CoRR abs/2206.11780 (2022) - [i59]Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman:
Robust Online Voltage Control with an Unknown Grid Topology. CoRR abs/2206.14369 (2022) - 2021
- [j92]Riley Murray, Venkat Chandrasekaran, Adam Wierman:
Newton Polytopes and Relative Entropy Optimization. Found. Comput. Math. 21(6): 1703-1737 (2021) - [j91]Riley Murray, Venkat Chandrasekaran, Adam Wierman:
Signomial and polynomial optimization via relative entropy and partial dualization. Math. Program. Comput. 13(2): 257-295 (2021) - [j90]Riley Murray, Venkat Chandrasekaran, Adam Wierman:
Publisher Correction to: Signomial and polynomial optimization via relative entropy and partial dualization. Math. Program. Comput. 13(2): 297-299 (2021) - [j89]Xingyu Zhou, Ness B. Shroff, Adam Wierman:
Asymptotically optimal load balancing in large-scale heterogeneous systems with multiple dispatchers. Perform. Evaluation 145: 102146 (2021) - [j88]Tongxin Li, Yue Chen, Bo Sun, Adam Wierman, Steven H. Low:
Information Aggregation for Constrained Online Control. Proc. ACM Meas. Anal. Comput. Syst. 5(2): 18:1-18:35 (2021) - [j87]Mor Harchol-Balter, Takayuki Osogami, Alan Scheller-Wolf, Adam Wierman:
Correction to: Multi-server queueing systems with multiple priority classes. Queueing Syst. Theory Appl. 99(3-4): 397-398 (2021) - [j86]Tongxin Li, Bo Sun, Yue Chen, Zixin Ye, Steven H. Low, Adam Wierman:
Learning-Based Predictive Control via Real-Time Aggregate Flexibility. IEEE Trans. Smart Grid 12(6): 4897-4913 (2021) - [c98]Ali Zeynali, Bo Sun, Mohammad Hassan Hajiesmaili, Adam Wierman:
Data-driven Competitive Algorithms for Online Knapsack and Set Cover. AAAI 2021: 10833-10841 - [c97]Guannan Qu, Chenkai Yu, Steven H. Low, Adam Wierman:
Exploiting Linear Models for Model-Free Nonlinear Control: A Provably Convergent Policy Gradient Approach. CDC 2021: 6539-6546 - [c96]Noman Bashir, Tian Guo, Mohammad H. Hajiesmaili, David E. Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman, Abel Souza, Adam Wierman:
Enabling Sustainable Clouds: The Case for Virtualizing the Energy System. SoCC 2021: 350-358 - [c95]Lucien Werner, Adam Wierman, Steven H. Low:
Pricing flexibility of shiftable demand in electricity markets. e-Energy 2021: 1-14 - [c94]Guannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman:
Stable Online Control of Linear Time-Varying Systems. L4DC 2021: 742-753 - [c93]Yiheng Lin, Yang Hu, Guanya Shi, Haoyuan Sun, Guannan Qu, Adam Wierman:
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems. NeurIPS 2021: 5174-5185 - [c92]Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman:
Multi-Agent Reinforcement Learning in Stochastic Networked Systems. NeurIPS 2021: 7825-7837 - [c91]Bo Sun, Russell Lee, Mohammad H. Hajiesmaili, Adam Wierman, Danny H. K. Tsang:
Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems. NeurIPS 2021: 10339-10350 - [c90]Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang:
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. EC 2021: 689 - [c89]Tongxin Li, Yue Chen, Bo Sun, Adam Wierman, Steven H. Low:
Information Aggregation for Constrained Online Control. SIGMETRICS (Abstracts) 2021: 7-8 - [c88]Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang:
Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. SIGMETRICS (Abstracts) 2021: 67-68 - [i58]Guannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman:
Stable Online Control of Linear Time-Varying Systems. CoRR abs/2104.14134 (2021) - [i57]Alessandro Zocca, Chen Liang, Linqi Guo, Steven H. Low, Adam Wierman:
A Spectral Representation of Power Systems with Applications to Adaptive Grid Partitioning and Cascading Failure Localization. CoRR abs/2105.05234 (2021) - [i56]Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang:
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. CoRR abs/2105.14262 (2021) - [i55]Shih-Hao Tseng, SooJean Han, Adam Wierman:
In-Network Freshness Control: Trading Throughput for Freshness. CoRR abs/2106.02156 (2021) - [i54]Noman Bashir, Tian Guo, Mohammad H. Hajiesmaili, David E. Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman, Abel Souza, Adam Wierman:
Enabling Sustainable Clouds: The Case for Virtualizing the Energy System. CoRR abs/2106.08872 (2021) - [i53]Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low:
Robustness and Consistency in Linear Quadratic Control with Predictions. CoRR abs/2106.09659 (2021) - [i52]Yiheng Lin, Yang Hu, Haoyuan Sun, Guanya Shi, Guannan Qu, Adam Wierman:
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems. CoRR abs/2106.10497 (2021) - [i51]Bo Sun, Russell Lee, Mohammad H. Hajiesmaili, Adam Wierman, Danny H. K. Tsang:
Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems. CoRR abs/2109.01556 (2021) - [i50]Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman:
Stability Constrained Reinforcement Learning for Real-Time Voltage Control. CoRR abs/2109.14854 (2021) - [i49]Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman:
Online Optimization with Feedback Delay and Nonlinear Switching Cost. CoRR abs/2111.00095 (2021) - 2020
- [j85]Desmond W. H. Cai, Anish Agarwal, Adam Wierman:
On the Inefficiency of Forward Markets in Leader-Follower Competition. Oper. Res. 68(1): 35-52 (2020) - [j84]Navid Azizan, Yu Su, Krishnamurthy Dvijotham, Adam Wierman:
Optimal Pricing in Markets with Nonconvex Costs. Oper. Res. 68(2): 480-496 (2020) - [j83]Zhixuan Fang, Longbo Huang, Adam Wierman:
Loyalty programs in the sharing economy: Optimality and competition. Perform. Evaluation 143: 102105 (2020) - [j82]Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani:
Third-Party Data Providers Ruin Simple Mechanisms. Proc. ACM Meas. Anal. Comput. Syst. 4(1): 12:1-12:31 (2020) - [j81]Lin Yang, Mohammad Hassan Hajiesmaili, Ramesh K. Sitaraman, Adam Wierman, Enrique Mallada, Wing Shing Wong:
Online Linear Optimization with Inventory Management Constraints. Proc. ACM Meas. Anal. Comput. Syst. 4(1): 16:1-16:29 (2020) - [j80]Yiheng Lin, Gautam Goel, Adam Wierman:
Online Optimization with Predictions and Non-convex Losses. Proc. ACM Meas. Anal. Comput. Syst. 4(1): 18:1-18:32 (2020) - [j79]Ziv Scully, Lucas van Kreveld, Onno J. Boxma, Jan-Pieter L. Dorsman, Adam Wierman:
Characterizing Policies with Optimal Response Time Tails under Heavy-Tailed Job Sizes. Proc. ACM Meas. Anal. Comput. Syst. 4(2): 30:1-30:33 (2020) - [j78]Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang:
Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. Proc. ACM Meas. Anal. Comput. Syst. 4(3): 51:1-51:32 (2020) - [j77]Xingyu Zhou, Ness B. Shroff, Adam Wierman:
Asymptotically Optimal Load Balancing in Large-scale Heterogeneous Systems with Multiple Dispatchers. SIGMETRICS Perform. Evaluation Rev. 48(3): 57-58 (2020) - [c87]Guannan Qu, Adam Wierman:
Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$-Learning. COLT 2020: 3185-3205 - [c86]Tongxin Li, Steven H. Low, Adam Wierman:
Real-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination. e-Energy 2020: 279-292 - [c85]Guannan Qu, Adam Wierman, Na Li:
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. L4DC 2020: 256-266 - [c84]Guannan Qu, Yiheng Lin, Adam Wierman, Na Li:
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. NeurIPS 2020 - [c83]Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Online Optimization with Memory and Competitive Control. NeurIPS 2020 - [c82]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
The Power of Predictions in Online Control. NeurIPS 2020 - [c81]Lin Yang, Mohammad Hassan Hajiesmaili, Ramesh K. Sitaraman, Adam Wierman, Enrique Mallada, Wing Shing Wong:
Online Linear Optimization with Inventory Management Constraints. SIGMETRICS (Abstracts) 2020: 7 - [c80]Yiheng Lin, Gautam Goel, Adam Wierman:
Online Optimization with Predictions and Non-convex Losses. SIGMETRICS (Abstracts) 2020: 9-10 - [c79]Ziv Scully, Lucas van Kreveld, Onno J. Boxma, Jan-Pieter L. Dorsman, Adam Wierman:
Characterizing Policies with Optimal Response Time Tails under Heavy-Tailed Job Sizes. SIGMETRICS (Abstracts) 2020: 35-36 - [c78]Palma London, Shai Vardi, Adam Wierman:
Logarithmic Communication for Distributed Optimization in Multi-Agent Systems. SIGMETRICS (Abstracts) 2020: 97-98 - [c77]Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani:
Third-Party Data Providers Ruin Simple Mechanisms. SIGMETRICS (Abstracts) 2020: 103 - [c76]Chen Liang, Fengyu Zhou, Alessandro Zocca, Steven H. Low, Adam Wierman:
Mitigating Cascading Failures via Local Responses. SmartGridComm 2020: 1-7 - [i48]Guannan Qu, Adam Wierman:
Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning. CoRR abs/2002.00260 (2020) - [i47]Guanya Shi, Yiheng Lin, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Beyond No-Regret: Competitive Control via Online Optimization with Memory. CoRR abs/2002.05318 (2020) - [i46]Xingyu Zhou, Ness B. Shroff, Adam Wierman:
Asymptotically Optimal Load Balancing in Large-scale Heterogeneous Systems with Multiple Dispatchers. CoRR abs/2002.08908 (2020) - [i45]Chen Liang, Linqi Guo, Alessandro Zocca, Shuyue Yu, Steven H. Low, Adam Wierman:
An Integrated Approach for Failure Mitigation & Localization in Power Systems. CoRR abs/2004.10401 (2020) - [i44]Yu Su, Xiaoqi Ren, Shai Vardi, Adam Wierman:
Communication-Aware Scheduling of Precedence-Constrained Tasks on Related Machines. CoRR abs/2004.14639 (2020) - [i43]Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Localization & Mitigation of Cascading Failures in Power Systems, Part I: Spectral Representation & Tree Partition. CoRR abs/2005.10199 (2020) - [i42]Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Localization & Mitigation of Cascading Failures in Power Systems, Part III: Real-time Mitigation. CoRR abs/2005.11319 (2020) - [i41]Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Localization & Mitigation of Cascading Failures in Power Systems, Part II: Localization. CoRR abs/2005.11320 (2020) - [i40]Yiheng Lin, Guannan Qu, Longbo Huang, Adam Wierman:
Distributed Reinforcement Learning in Multi-Agent Networked Systems. CoRR abs/2006.06555 (2020) - [i39]Guannan Qu, Yiheng Lin, Adam Wierman, Na Li:
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. CoRR abs/2006.06626 (2020) - [i38]Guannan Qu, Chenkai Yu, Steven H. Low, Adam Wierman:
Combining Model-Based and Model-Free Methods for Nonlinear Control: A Provably Convergent Policy Gradient Approach. CoRR abs/2006.07476 (2020) - [i37]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
The Power of Predictions in Online Control. CoRR abs/2006.07569 (2020) - [i36]Tongxin Li, Steven H. Low, Adam Wierman:
Real-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination. CoRR abs/2006.13814 (2020) - [i35]Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang:
Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. CoRR abs/2010.00412 (2020) - [i34]Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman:
Competitive Control with Delayed Imperfect Information. CoRR abs/2010.11637 (2020) - [i33]Ali Zeynali, Bo Sun, Mohammad Hassan Hajiesmaili, Adam Wierman:
Data-driven Competitive Algorithms for Online Knapsack and Set Cover. CoRR abs/2012.05361 (2020) - [i32]Tongxin Li, Bo Sun, Yue Chen, Zixin Ye, Steven H. Low, Adam Wierman:
Real-time Aggregate Flexibility via Reinforcement Learning. CoRR abs/2012.11261 (2020)
2010 – 2019
- 2019
- [j76]Desmond W. H. Cai, Subhonmesh Bose, Adam Wierman:
On the Role of a Market Maker in Networked Cournot Competition. Math. Oper. Res. 44(3): 1122-1144 (2019) - [j75]Zhixuan Fang, Longbo Huang, Adam Wierman:
Prices and subsidies in the sharing economy. Perform. Evaluation 136 (2019) - [j74]Qiulin Lin, Hanling Yi, John Z. F. Pang, Minghua Chen, Adam Wierman, Michael L. Honig, Yuanzhang Xiao:
Competitive Online Optimization under Inventory Constraints. Proc. ACM Meas. Anal. Comput. Syst. 3(1): 10:1-10:28 (2019) - [j73]Palma London, Shai Vardi, Adam Wierman:
Logarithmic Communication for Distributed Optimization in Multi-Agent Systems. Proc. ACM Meas. Anal. Comput. Syst. 3(3): 48:1-48:29 (2019) - [j72]Gautam Goel, Adam Wierman:
An Online Algorithm for Smoothed Online Convex Optimization. SIGMETRICS Perform. Evaluation Rev. 47(2): 6-8 (2019) - [j71]Yu Su, Xiaoqi Ren, Shai Vardi, Adam Wierman, Yuxiong He:
Communication-Aware Scheduling of Precedence-Constrained Tasks. SIGMETRICS Perform. Evaluation Rev. 47(2): 21-23 (2019) - [c75]Gautam Goel, Adam Wierman:
An Online Algorithm for Smoothed Regression and LQR Control. AISTATS 2019: 2504-2513 - [c74]Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Less is More: Real-time Failure Localization in Power Systems. CDC 2019: 3871-3877 - [c73]Navid Azizan Ruhi, Yu Su, Krishnamurthy Dvijotham, Adam Wierman:
Optimal Pricing in Markets with Non-Convex Costs. EC 2019: 595 - [c72]Gautam Goel, Yiheng Lin, Haoyuan Sun, Adam Wierman:
Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization. NeurIPS 2019: 1873-1883 - [c71]Qiulin Lin, Hanling Yi, John Z. F. Pang, Minghua Chen, Adam Wierman, Michael L. Honig, Yuanzhang Xiao:
Competitive Online Optimization under Inventory Constraints. SIGMETRICS (Abstracts) 2019: 35-36 - [i31]Lin Yang, Mohammad Hassan Hajiesmaili, Ramesh K. Sitaraman, Enrique Mallada, Wing Shing Wong, Adam Wierman:
Online Inventory Management with Application to Energy Procurement in Data Centers. CoRR abs/1901.04372 (2019) - [i30]Qiulin Lin, Hanling Yi, John Z. F. Pang, Minghua Chen, Adam Wierman, Michael L. Honig, Yuanzhang Xiao:
Competitive Online Optimization under Inventory Constraints. CoRR abs/1901.09161 (2019) - [i29]John Z. F. Pang, Weixuan Lin, Hu Fu, Jack Kleeman, Eilyan Bitar, Adam Wierman:
Transparency and Control in Platforms for Networked Markets. CoRR abs/1903.04574 (2019) - [i28]Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Less is More: Real-time Failure Localization in Power Systems. CoRR abs/1904.05461 (2019) - [i27]Gautam Goel, Yiheng Lin, Haoyuan Sun, Adam Wierman:
Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization. CoRR abs/1905.12776 (2019) - [i26]Yiheng Lin, Gautam Goel, Adam Wierman:
Online Optimization with Predictions and Non-convex Losses. CoRR abs/1911.03827 (2019) - [i25]Guannan Qu, Adam Wierman, Na Li:
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. CoRR abs/1912.02906 (2019) - 2018
- [j70]Jayakrishnan Nair, Vijay G. Subramanian, Adam Wierman:
Provisioning of ad-supported cloud services: The role of competition. Perform. Evaluation 120: 36-48 (2018) - [j69]Adam Wierman, Aditya Akella:
Message from the Editors. Proc. ACM Meas. Anal. Comput. Syst. 2(2): 23:1 (2018) - [j68]Yorie Nakahira, Andrés Ferragut, Adam Wierman:
Minimal-variance distributed scheduling under strict demands and deadlines. SIGMETRICS Perform. Evaluation Rev. 46(2): 12-14 (2018) - [j67]Junjie Qin, Ram Rajagopal, Shai Vardi, Adam Wierman:
Convex Prophet Inequalities. SIGMETRICS Perform. Evaluation Rev. 46(2): 39-41 (2018) - [j66]Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Failure Localization in Power Systems via Tree Partitions. SIGMETRICS Perform. Evaluation Rev. 46(2): 57-61 (2018) - [j65]Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Failure Localization in Power Systems via Tree Partitions. SIGMETRICS Perform. Evaluation Rev. 46(2): 79-80 (2018) - [j64]Junjie Qin, Ram Rajagopal, Shai Vardi, Adam Wierman:
Convex Prophet Inequalities. SIGMETRICS Perform. Evaluation Rev. 46(2): 85-86 (2018) - [j63]Yorie Nakahira, Andrés Ferragut, Adam Wierman:
Minimal-Variance Distributed Deadline Scheduling in a Stationary Environment. SIGMETRICS Perform. Evaluation Rev. 46(3): 56-61 (2018) - [j62]Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman:
Datum: Managing Data Purchasing and Data Placement in a Geo-Distributed Data Market. IEEE/ACM Trans. Netw. 26(2): 893-905 (2018) - [j61]Navid Azizan Ruhi, Krishnamurthy Dvijotham, Niangjun Chen, Adam Wierman:
Opportunities for Price Manipulation by Aggregators in Electricity Markets. IEEE Trans. Smart Grid 9(6): 5687-5698 (2018) - [c70]Palma London, Shai Vardi, Adam Wierman, Hanling Yi:
A Parallelizable Acceleration Framework for Packing Linear Programs. AAAI 2018: 3706-3713 - [c69]Linqi Guo, Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman:
Failure Localization in Power Systems via Tree Partitions. CDC 2018: 6832-6839 - [c68]Niangjun Chen, Gautam Goel, Adam Wierman:
Smoothed Online Convex Optimization in High Dimensions via Online Balanced Descent. COLT 2018: 1574-1594 - [c67]Mohammad A. Islam, Xiaoqi Ren, Shaolei Ren, Adam Wierman:
A Spot Capacity Market to Increase Power Infrastructure Utilization in Multi-tenant Data Centers. HPCA 2018: 776-788 - [c66]Palma London, Shai Vardi, Adam Wierman, Hanling Yi:
A Parallelizable Acceleration Framework for Packing Linear Programs. ITA 2018: 1-10 - [c65]Zhixuan Fang, Longbo Huang, Adam Wierman:
Loyalty Programs in the Sharing Economy: Optimality and Competition. MobiHoc 2018: 131-140