| 2026 | SIGMETRICS | Online Smoothed Demand Management. | Adam Lechowicz, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy |
| 2025 | AISTATS | Approximate Global Convergence of Independent Learning in Multi-Agent Systems. | Ruiyang Jin, Zaiwei Chen, Yiheng Lin, Jie Song, Adam Wierman |
| 2025 | AISTATS | Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data. | Chengrui Qu, Laixi Shi, Kishan Panaganti, Pengcheng You, Adam Wierman |
| 2025 | ICLR | Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning. | Shangding Gu, Laixi Shi, Muning Wen, Ming Jin, Eric Mazumdar, Yuejie Chi, Adam Wierman, Costas J. Spanos |
| 2025 | ICML | Online Robust Reinforcement Learning Through Monte-Carlo Planning. | Tuan Dam, Kishan Panaganti, Brahim Driss, Adam Wierman |
| 2025 | ICML | Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization. | Chenbei Lu, Laixi Shi, Zaiwei Chen, Chenye Wu, Adam Wierman |
| 2025 | ICML | Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning. | Laixi Shi, Jingchu Gai, Eric Mazumdar, Yuejie Chi, Adam Wierman |
| 2025 | ICML | Fusing Reward and Dueling Feedback in Stochastic Bandits. | Xuchuang Wang, Qirun Zeng, Jinhang Zuo, Xutong Liu, Mohammad Hajiesmaili, John C. S. Lui, Adam Wierman |
| 2025 | SIGCOMM | Carbon- and Precedence-Aware Scheduling for Data Processing Clusters. | Adam Lechowicz, Rohan Shenoy, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Christina Delimitrou |
| 2025 | SIGMETRICS | Learning-Augmented Decentralized Online Convex Optimization in Networks. | Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren |
| 2025 | SIGMETRICS | Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints. | Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy |
| 2024 | COLT | Risk-Sensitive Online Algorithms (Extended Abstract). | Nicolas Christianson, Bo Sun, Steven H. Low, Adam Wierman |
| 2024 | COLT | Online Policy Optimization in Unknown Nonlinear Systems. | Yiheng Lin, James A. Preiss, Fengze Xie, Emile Anand, Soon-Jo Chung, Yisong Yue, Adam Wierman |
| 2024 | ICML | Online Algorithms with Uncertainty-Quantified Predictions. | Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, Raouf Boutaba |
| 2024 | ICML | Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization. | Neelkamal Bhuyan, Debankur Mukherjee, Adam Wierman |
| 2024 | ICML | Chasing Convex Functions with Long-term Constraints. | Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy |
| 2024 | ICML | Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis. | Yingying Li, Jing Yu, Lauren E. Conger, Taylan Kargin, Adam Wierman |
| 2024 | ICML | Model-Free Robust ϕ-Divergence Reinforcement Learning Using Both Offline and Online Data. | Kishan Panaganti, Adam Wierman, Eric Mazumdar |
| 2024 | ICML | Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty. | Laixi Shi, Eric Mazumdar, Yuejie Chi, Adam Wierman |
| 2024 | SIGCOMM | SODA: An Adaptive Bitrate Controller for Consistent High-Quality Video Streaming. | Tianyu Chen, Yiheng Lin, Nicolas Christianson, Zahaib Akhtar, Sharath Dharmaji, Mohammad Hajiesmaili, Adam Wierman, Ramesh K. Sitaraman |
| 2024 | SIGMETRICS | Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms. | Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy |
| 2024 | SIGMETRICS | The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. | Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy |
| 2023 | AISTATS | Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems. | Nicolas Christianson, Junxuan Shen, Adam Wierman |
| 2023 | ICML | Contextual Combinatorial Bandits with Probabilistically Triggered Arms. | Xutong Liu, Jinhang Zuo, Siwei Wang, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen |
| 2023 | UAI | Convergence rates for localized actor-critic in networked Markov potential games. | Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin, Adam Wierman |
| 2023 | SIGMETRICS | Online Adversarial Stabilization of Unknown Networked Systems. | Jing Yu, Dimitar Ho, Adam Wierman |
| 2023 | SIGMETRICS | Smoothed Online Optimization with Unreliable Predictions. | Daan Rutten, Nicolas Christianson, Debankur Mukherjee, Adam Wierman |
| 2023 | SIGMETRICS | The Online Knapsack Problem with Departures. | Bo Sun, Lin Yang, Mohammad H. Hajiesmaili, Adam Wierman, John C. S. Lui, Don Towsley, Danny H. K. Tsang |
| 2023 | SIGMETRICS | Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning. | Yizhou Zhang, Guannan Qu, Pan Xu, Yiheng Lin, Zaiwei Chen, Adam Wierman |
| 2022 | COLT | Chasing Convex Bodies and Functions with Black-Box Advice. | Nicolas Christianson, Tinashe Handina, Adam Wierman |
| 2022 | ICML | Decentralized Online Convex Optimization in Networked Systems. | Yiheng Lin, Judy Gan, Guannan Qu, Yash Kanoria, Adam Wierman |
| 2022 | SIGMETRICS | Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions. | Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, Steven H. Low |
| 2022 | SIGMETRICS | Online Optimization with Feedback Delay and Nonlinear Switching Cost. | Weici Pan, Guanya Shi, Yiheng Lin, Adam Wierman |
| 2021 | AAAI | Data-driven Competitive Algorithms for Online Knapsack and Set Cover. | Ali Zeynali, Bo Sun, Mohammad Hassan Hajiesmaili, Adam Wierman |
| 2021 | CLOUD | Enabling Sustainable Clouds: The Case for Virtualizing the Energy System. | Noman Bashir, Tian Guo, Mohammad H. Hajiesmaili, David Irwin, Prashant J. Shenoy, Ramesh K. Sitaraman, Abel Souza, Adam Wierman |
| 2021 | SIGMETRICS | Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging. | Bo Sun, Ali Zeynali, Tongxin Li, Mohammad Hassan Hajiesmaili, Adam Wierman, Danny H. K. Tsang |
| 2021 | SIGMETRICS | Information Aggregation for Constrained Online Control. | Tongxin Li, Yue Chen, Bo Sun, Adam Wierman, Steven H. Low |
| 2020 | COLT | Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$-Learning. | Guannan Qu, Adam Wierman |
| 2020 | SIGMETRICS | Third-Party Data Providers Ruin Simple Mechanisms. | Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani |
| 2020 | SIGMETRICS | Online Optimization with Predictions and Non-convex Losses. | Yiheng Lin, Gautam Goel, Adam Wierman |
| 2020 | SIGMETRICS | Logarithmic Communication for Distributed Optimization in Multi-Agent Systems. | Palma London, Shai Vardi, Adam Wierman |
| 2020 | SIGMETRICS | Characterizing Policies with Optimal Response Time Tails under Heavy-Tailed Job Sizes. | Ziv Scully, Lucas van Kreveld, Onno J. Boxma, Jan-Pieter L. Dorsman, Adam Wierman |
| 2020 | SIGMETRICS | Online Linear Optimization with Inventory Management Constraints. | Lin Yang, Mohammad Hassan Hajiesmaili, Ramesh K. Sitaraman, Adam Wierman, Enrique Mallada, Wing Shing Wong |
| 2019 | AISTATS | An Online Algorithm for Smoothed Regression and LQR Control. | Gautam Goel, Adam Wierman |
| 2019 | EC | Optimal Pricing in Markets with Non-Convex Costs. | Navid Azizan Ruhi, Yu Su, Krishnamurthy Dvijotham, Adam Wierman |
| 2019 | SIGMETRICS | Competitive Online Optimization under Inventory Constraints. | Qiulin Lin, Hanling Yi, John Z. F. Pang, Minghua Chen, Adam Wierman, Michael L. Honig, Yuanzhang Xiao |
| 2018 | AAAI | A Parallelizable Acceleration Framework for Packing Linear Programs. | Palma London, Shai Vardi, Adam Wierman, Hanling Yi |
| 2018 | COLT | Smoothed Online Convex Optimization in High Dimensions via Online Balanced Descent. | Niangjun Chen, Gautam Goel, Adam Wierman |
| 2018 | HPCA | A Spot Capacity Market to Increase Power Infrastructure Utilization in Multi-tenant Data Centers. | Mohammad A. Islam, Xiaoqi Ren, Shaolei Ren, Adam Wierman |
| 2018 | ITA | A Parallelizable Acceleration Framework for Packing Linear Programs. | Palma London, Shai Vardi, Adam Wierman, Hanling Yi |
| 2018 | MOBIHOC | Loyalty Programs in the Sharing Economy: Optimality and Competition. | Zhixuan Fang, Longbo Huang, Adam Wierman |
| 2017 | CCS | Exploiting a Thermal Side Channel for Power Attacks in Multi-Tenant Data Centers. | Mohammad A. Islam, Shaolei Ren, Adam Wierman |
| 2017 | CISS | On the efficiency of networked Stackelberg competition. | Yunjian Xu, Desmond W. H. Cai, Subhonmesh Bose, Adam Wierman |
| 2017 | INFOCOM | The efficiency of open access in platforms for networked cournot markets. | John Z. F. Pang, Hu Fu, Won I. Lee, Adam Wierman |
| 2017 | WWW | Prices and Subsidies in the Sharing Economy. | Zhixuan Fang, Longbo Huang, Adam Wierman |
| 2017 | SIGMETRICS | A Spot Capacity Market to Increase Power Infrastructure Utilization in Multi-Tenant Data Centers. | Mohammad A. Islam, Xiaoqi Ren, Shaolei Ren, Adam Wierman |
| 2016 | HPCA | A market approach for handling power emergencies in multi-tenant data center. | Mohammad A. Islam, Xiaoqi Ren, Shaolei Ren, Adam Wierman, Xiaorui Wang |
| 2016 | SIGMETRICS | Using Predictions in Online Optimization: Looking Forward with an Eye on the Past. | Niangjun Chen, Joshua Comden, Zhenhua Liu, Anshul Gandhi, Adam Wierman |
| 2016 | SIGMETRICS | Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market. | Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman |
| 2015 | SIGCOMM | Hopper: Decentralized Speculation-aware Cluster Scheduling at Scale. | Xiaoqi Ren, Ganesh Ananthanarayanan, Adam Wierman, Minlan Yu |
| 2015 | SIGMETRICS | Online Convex Optimization Using Predictions. | Niangjun Chen, Anish Agarwal, Adam Wierman, Siddharth Barman, Lachlan L. H. Andrew |
| 2014 | INFOCOM | Optimal risk-aware power procurement for data centers in day-ahead and real-time electricity markets. | Mahdi Ghamkhari, Hamed Mohsenian Rad, Adam Wierman |
| 2014 | NSDI | GRASS: Trimming Stragglers in Approximation Analytics. | Ganesh Ananthanarayanan, Michael Chien-Chun Hung, Xiaoqi Ren, Ion Stoica, Adam Wierman, Minlan Yu |
| 2014 | SIGMETRICS | Pricing data center demand response. | Zhenhua Liu, Iris Liu, Steven H. Low, Adam Wierman |
| 2014 | SIGMETRICS | Energy procurement strategies in the presence of intermittent sources. | Jayakrishnan Nair, Sachin Adlakha, Adam Wierman |
| 2013 | COLT | A Tale of Two Metrics: Simultaneous Bounds on Competitiveness and Regret. | Lachlan L. H. Andrew, Siddharth Barman, Katrina Ligett, Minghong Lin, Adam Meyerson, Alan Roytman, Adam Wierman |
| 2013 | INFOCOM | When heavy-tailed and light-tailed flows compete: The response time tail under generalized max-weight scheduling. | Jayakrishnan Nair, Krishna P. Jagannathan, Adam Wierman |
| 2013 | INFOCOM | Characterizing the impact of the workload on the value of dynamic resizing in data centers. | Kai Wang, Minghong Lin, Florin Ciucu, Adam Wierman, Chuang Lin |
| 2013 | SIGMETRICS | A tale of two metrics: simultaneous bounds on competitiveness and regret. | Lachlan L. H. Andrew, Siddharth Barman, Katrina Ligett, Minghong Lin, Adam Meyerson, Alan Roytman, Adam Wierman |
| 2013 | SIGMETRICS | Data center demand response: avoiding the coincident peak via workload shifting and local generation. | Zhenhua Liu, Adam Wierman, Yuan Chen, Benjamin Razon, Niangjun Chen |
| 2013 | SIGMETRICS | The fundamentals of heavy-tails: properties, emergence, and identification. | Jayakrishnan Nair, Adam Wierman, Bert Zwart |
| 2012 | SIGMETRICS | Renewable and cooling aware workload management for sustainable data centers. | Zhenhua Liu, Yuan Chen, Cullen E. Bash, Adam Wierman, Daniel Gmach, Zhikui Wang, Manish Marwah, Chris Hyser |
| 2012 | SIGMETRICS | Characterizing the impact of the workload on the value of dynamic resizing in data centers. | Kai Wang, Minghong Lin, Florin Ciucu, Adam Wierman, Chuang Lin |
| 2011 | INFOCOM | Dynamic right-sizing for power-proportional data centers. | Minghong Lin, Adam Wierman, Lachlan L. H. Andrew, Eno Thereska |
| 2011 | SIGMETRICS | Greening geographical load balancing. | Zhenhua Liu, Minghong Lin, Adam Wierman, Steven H. Low, Lachlan L. H. Andrew |
| 2011 | SAGT | Peer Effects and Stability in Matching Markets. | Elizabeth Bodine-Baron, Christina Lee, Anthony Chong, Babak Hassibi, Adam Wierman |
| 2010 | SIGMETRICS | Optimality, fairness, and robustness in speed scaling designs. | Lachlan L. H. Andrew, Minghong Lin, Adam Wierman |
| 2009 | INFOCOM | On the Impact of Heterogeneity and Back-End Scheduling in Load Balancing Designs. | Ho-Lin Chen, Jason R. Marden, Adam Wierman |
| 2009 | INFOCOM | Power-Aware Speed Scaling in Processor Sharing Systems. | Adam Wierman, Lachlan L. H. Andrew, Ao Tang |
| 2008 | SIGMETRICS | Scheduling despite inexact job-size information. | Adam Wierman, Misja Nuyens |
| 2006 | ICDE | How to Determine a Good Multi-Programming Level for External Scheduling. | Bianca Schroeder, Mor Harchol-Balter, Arun Iyengar, Erich M. Nahum, Adam Wierman |
| 2006 | NSDI | Open Versus Closed: A Cautionary Tale. | Bianca Schroeder, Adam Wierman, Mor Harchol-Balter |
| 2006 | SIGMETRICS | Tail asymptotics for policies favoring short jobs in a many-flows regime. | Chang-Woo Yang, Adam Wierman, Sanjay Shakkottai, Mor Harchol-Balter |
| 2005 | SIGMETRICS | Classifying scheduling policies with respect to higher moments of conditional response time. | Adam Wierman, Mor Harchol-Balter |
| 2005 | SIGMETRICS | Nearly insensitive bounds on SMART scheduling. | Adam Wierman, Mor Harchol-Balter, Takayuki Osogami |
| 2003 | MASCOTS | A Unified Framework for Modeling TCP-Vegas, TCP-SACK, and TCP-Reno. | Adam Wierman, Takayuki Osogami, Jrgen Olsn |
| 2003 | SIGMETRICS | Classifying scheduling policies with respect to unfairness in an M/GI/1. | Adam Wierman, Mor Harchol-Balter |