Adam Wierman

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 228

Top Venues

CoRR

SIGMETRICS Perform. Evaluation Rev.

Proc. ACM Meas. Anal. Comput. Syst.

NeurIPS

Publications

Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms. SIGMETRICS/Performance (Abstracts) (2024)
Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue
Distributionally Robust Constrained Reinforcement Learning under Strong Duality. CoRR (2024)
Nicolas Christianson, Bo Sun, Steven H. Low, Adam Wierman
Risk-Sensitive Online Algorithms (Extended Abstract). COLT (2024)
Nicolas Christianson, Bo Sun, Steven H. Low, Adam Wierman
Risk-Sensitive Online Algorithms. CoRR (2024)
Ruiyang Jin, Zaiwei Chen, Yiheng Lin, Jie Song, Adam Wierman
Approximate Global Convergence of Independent Learning in Multi-Agent Systems. CoRR (2024)
Yiheng Lin, James A. Preiss, Fengze Xie, Emile Anand, Soon-Jo Chung, Yisong Yue, Adam Wierman
Online Policy Optimization in Unknown Nonlinear Systems. COLT (2024)
Junjie Qin, Shai Vardi, Adam Wierman
Minimization Fractional Prophet Inequalities for Sequential Procurement. Math. Oper. Res. 49 (2) (2024)
Kishan Panaganti, Adam Wierman, Eric Mazumdar
Model-Free Robust φ-Divergence Reinforcement Learning Using Both Offline and Online Data. CoRR (2024)
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
Carbon Connect: An Ecosystem for Sustainable Computing. CoRR (2024)
Laixi Shi, Eric Mazumdar, Yuejie Chi, Adam Wierman
Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty. CoRR (2024)
Tianyu Chen, Yiheng Lin, Nicolas Christianson, Zahaib Akhtar, Sharath Dharmaji, Mohammad Hajiesmaili, Adam Wierman, Ramesh K. Sitaraman
SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming. SIGCOMM (2024)
Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. SIGMETRICS/Performance (Abstracts) (2024)
Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas J. Spanos, Adam Wierman, Ming Jin
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation. CoRR (2024)
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
Chasing Convex Functions with Long-term Constraints. CoRR (2024)
Palma London, Shai Vardi, Reza Eghbali, Adam Wierman
Black-Box Acceleration of Monotone Convex Program Solvers. Oper. Res. 72 (2) (2024)
Junxuan Shen, Adam Wierman, Guannan Qu
Combining model-based controller and ML advice via convex reparameterization. L4DC (2024)
Yu Su, Shai Vardi, Xiaoqi Ren, Adam Wierman
Communication-aware scheduling of precedence-constrained tasks on related machines. Oper. Res. Lett. 51 (6) (2023)
Nicolas Christianson, Junxuan Shen, Adam Wierman
Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems. AISTATS (2023)
Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. Proc. ACM Meas. Anal. Comput. Syst. 7 (3) (2023)
Xutong Liu, Jinhang Zuo, Siwei Wang, John C. S. Lui, Mohammad H. Hajiesmaili, Adam Wierman, Wei Chen
Contextual Combinatorial Bandits with Probabilistically Triggered Arms. CoRR (2023)
Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren
Robust Learning for Smoothed Online Convex Optimization with Feedback Delay. NeurIPS (2023)
Yorie Nakahira, Andrés Ferragut, Adam Wierman
Generalized Exact Scheduling: A Minimal-Variance Distributed Deadline Scheduler. Oper. Res. 71 (2) (2023)
Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren
Learning-Augmented Decentralized Online Convex Optimization in Networks. CoRR (2023)
Jing Yu, Varun Gupta, Adam Wierman
Online Stabilization of Unknown Linear Time-Varying Systems. CoRR (2023)
Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad H. Hajiesmaili, Adam Wierman
Adversarial Attacks on Online Learning to Rank with Click Feedback. CoRR (2023)
Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman
A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games. NeurIPS (2023)
Yue Chen, Changhong Zhao, Steven H. Low, Adam Wierman
An Energy Sharing Mechanism Considering Network Constraints and Market Power Limitation. IEEE Trans. Smart Grid 14 (2) (2023)
Xutong Liu, Jinhang Zuo, Siwei Wang, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen
Contextual Combinatorial Bandits with Probabilistically Triggered Arms. ICML (2023)
Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms. CoRR (2023)
Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma
Online switching control with stability and regret guarantees. CoRR (2023)
Jing Yu, Dimitar Ho, Adam Wierman
Online Adversarial Stabilization of Unknown Networked Systems. SIGMETRICS (Abstracts) (2023)
Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman
Convergence Rates for Localized Actor-Critic in Networked Markov Potential Games. CoRR (2023)
Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren
Robust Learning for Smoothed Online Convex Optimization with Feedback Delay. CoRR (2023)
Jing Yu, Dimitar Ho, Adam Wierman
Online Adversarial Stabilization of Unknown Networked Systems. Proc. ACM Meas. Anal. Comput. Syst. 7 (1) (2023)
Lucien Werner, Nicolas Christianson, Alessandro Zocca, Adam Wierman, Steven H. Low
Pricing Uncertainty in Stochastic Multi-Stage Electricity Markets. CDC (2023)
Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman
Convergence rates for localized actor-critic in networked Markov potential games. UAI (2023)
Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman
Smoothed Online Optimization with Unreliable Predictions. Proc. ACM Meas. Anal. Comput. Syst. 7 (1) (2023)
Yiheng Lin, James A. Preiss, Emile Anand, Yingying Li, Yisong Yue, Adam Wierman
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations. NeurIPS (2023)
Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman
Online Algorithms with Uncertainty-Quantified Predictions. CoRR (2023)
Yingying Li, Jing Yu, Lauren Conger, Adam Wierman
Learning the Uncertainty Sets for Control Dynamics via Set Membership: A Non-Asymptotic Analysis. CoRR (2023)
Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. SIGMETRICS (Abstracts) (2023)
Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman
A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games. CoRR (2023)
Jing Yu, Varun Gupta, Adam Wierman
Online Adversarial Stabilization of Unknown Linear Time-Varying Systems. CDC (2023)
Chen Liang, Linqi Guo, Alessandro Zocca, Steven H. Low, Adam Wierman
Adaptive Network Response to Line Failures in Power Systems. IEEE Trans. Control. Netw. Syst. 10 (1) (2023)
Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren
Anytime-Competitive Reinforcement Learning with Policy Prior. CoRR (2023)
Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman
Smoothed Online Optimization with Unreliable Predictions. SIGMETRICS (Abstracts) (2023)
Bo Sun, Lin Yang, Mohammad Hajiesmaili, Adam Wierman, John C. S. Lui, Don Towsley, Danny H. K. Tsang
The Online Knapsack Problem with Departures. SIGMETRICS (Abstracts) (2023)
Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma
Online switching control with stability and regret guarantees. L4DC (2023)
Zaiwei Chen, Kaiqing Zhang, Eric Mazumdar, Asuman E. Ozdaglar, Adam Wierman
Two-Timescale Q-Learning with Function Approximation in Zero-Sum Stochastic Games. CoRR (2023)
Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. Proc. ACM Meas. Anal. Comput. Syst. 7 (1) (2023)
Jinhang Zuo, Zhiyao Zhang, Xuchuang Wang, Cheng Chen, Shuai Li, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman
Adversarial Attacks on Cooperative Multi-agent Bandits. CoRR (2023)
Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren
Towards Environmentally Equitable AI via Geographical Load Balancing. CoRR (2023)
Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren
Anytime-Competitive Reinforcement Learning with Policy Prior. NeurIPS (2023)
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
SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems. NeurIPS (2023)
Chenkai Yu, Hongyao Ma, Adam Wierman
Price Cycles in Ridesharing Platforms. WINE (2023)
Shih-Hao Tseng, SooJean Han, Adam Wierman
Trading Throughput for Freshness: Freshness-aware Traffic Engineering and In-Network Freshness Control. ACM Trans. Model. Perform. Evaluation Comput. Syst. 8 (1-2) (2023)
Neelkamal Bhuyan, Debankur Mukherjee, Adam Wierman
Best of Both Worlds: Stochastic and Adversarial Convex Function Chasing. CoRR (2023)
Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions. CoRR (2023)
Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, Adam Wierman
Adversarial Attacks on Online Learning to Rank with Click Feedback. NeurIPS (2023)
Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems. CDC (2023)
Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman
Online learning for robust voltage control under uncertain grid topology. CoRR (2023)
Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad H. Hajiesmaili, Adam Wierman, Prashant J. Shenoy
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. CoRR (2023)
Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions. NeurIPS (2023)
Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. SIAM J. Control. Optim. 61 (3) (2023)
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) (2022)
Yang Hu, Adam Wierman, Guannan Qu
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory. CoRR (2022)
Bo Sun, Lin Yang, Mohammad H. Hajiesmaili, Adam Wierman, John C. S. Lui, Don Towsley, Danny H. K. Tsang
The Online Knapsack Problem with Departures. CoRR (2022)
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 (2022)
Jie Feng, Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman
Stability Constrained Reinforcement Learning for Real-Time Voltage Control in Distribution Systems. CoRR (2022)
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 (2022)
Yang Hu, Adam Wierman, Guannan Qu
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory (Extended Abstract). Allerton (2022)
Guannan Qu, Adam Wierman, Na Li
Scalable Reinforcement Learning for Multiagent Networked Systems. Oper. Res. 70 (6) (2022)
Nicolas Christianson, Tinashe Handina, Adam Wierman
Chasing Convex Bodies and Functions with Black-Box Advice. CoRR (2022)
Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman
Robust Online Voltage Control with an Unknown Grid Topology. CoRR (2022)
Guocheng Liao, Yu Su, Juba Ziani, Adam Wierman, Jianwei Huang
The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition. SIGMETRICS Perform. Evaluation Rev. 49 (2) (2022)
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) (2022)
Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. CoRR (2022)
Chenkai Yu, Hongyao Ma, Adam Wierman
Price Cycles in Ridesharing Platforms. CoRR (2022)
Yue Chen, Changhong Zhao, Steven H. Low, Adam Wierman
An Energy Sharing Mechanism Considering Network Constraints and Market Power Limitation. CoRR (2022)
Yiheng Lin, Judy Gan, Guannan Qu, Yash Kanoria, Adam Wierman
Decentralized Online Convex Optimization in Networked Systems. ICML (2022)
Nicolas Christianson, Tinashe Handina, Adam Wierman
Chasing Convex Bodies and Functions with Black-Box Advice. COLT (2022)
Yiheng Lin, Yang Hu, Guannan Qu, Tongxin Li, Adam Wierman
Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity. NeurIPS (2022)
Sungho Shin, Yiheng Lin, Guannan Qu, Adam Wierman, Mihai Anitescu
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems. CoRR (2022)
Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman
Online Optimization with Feedback Delay and Nonlinear Switching Cost. SIGMETRICS (Abstracts) (2022)
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)
Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman
Stability Constrained Reinforcement Learning for Real-Time Voltage Control. ACC (2022)
Yang Hu, Adam Wierman, Guannan Qu
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory. NeurIPS (2022)
Yu Su, Jannie Yu, Vivek Anand, Adam Wierman
Learning-Augmented Energy-Aware Scheduling of Precedence-Constrained Tasks. SIGMETRICS Perform. Evaluation Rev. 49 (2) (2022)
Jing Yu, Dimitar Ho, Adam Wierman
Online Stabilization of Unknown Networked Systems with Communication Constraints. CoRR (2022)
Daan Rutten, Nico Christianson, Debankur Mukherjee, Adam Wierman
Online Optimization with Untrusted Predictions. CoRR (2022)
Chenkai Yu, Guanya Shi, Soon-Jo Chung, Yisong Yue, Adam Wierman
Competitive Control with Delayed Imperfect Information. ACC (2022)
Christopher Yeh, Jing Yu, Yuanyuan Shi, Adam Wierman
Robust online voltage control with an unknown grid topology. e-Energy (2022)
Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman
Interface Networks for Failure Localization in Power Systems. CoRR (2022)
Chen Liang, Alessandro Zocca, Steven H. Low, Adam Wierman
Interface Networks for Failure Localization in Power Systems. ACC (2022)
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) (2022)
Lucien Werner, Adam Wierman, Steven H. Low
Pricing flexibility of shiftable demand in electricity markets. e-Energy (2021)
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)
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 (2021)
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 (2021)
Riley Murray, Venkat Chandrasekaran, Adam Wierman
Signomial and polynomial optimization via relative entropy and partial dualization. Math. Program. Comput. 13 (2) (2021)

Adam Wierman.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Adam Wierman