Mohammad Hajiesmaili

97 papers A* 19A 4Journal 56Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bandit Learning in Matching Markets with Interviews. CoRR Amirmahdi Mirfakhar, Xuchuang Wang, Mengfan Xu, Hedyeh Beyhaghi, Mohammad Hajiesmaili
2026	J	`jnl`	Combinatorial Logistic Online Learning and Its Applications in Nonlinear Networked Systems. IEEE Trans. Netw. Xutong Liu, Xiangxiang Dai, Xuchuang Wang, Carlee Joe-Wong, Mohammad Hajiesmaili, John C. S. Lui
2026	J	`jnl`	Degradation-Aware Frequency Regulation of a Heterogeneous Battery Fleet via Reinforcement Learning. CoRR Tanay Raghunandan Srinivasa, Vivek Deulkar, Jia Bhargava, Mohammad Hajiesmaili, Prashant J. Shenoy
2026	A	`conf`	Fairness in the k-Server Problem. ITCS Mohammadreza Daneshvaramoli, Mohammad Hajiesmaili, Shahin Kamali, Helia Karisani, Cameron Musco
2026	J	`jnl`	Green Bin Packing. Proc. ACM Meas. Anal. Comput. Syst. Jackson Bibbens, Cooper Sigrist, Bo Sun, Shahin Kamali, Mohammad Hajiesmaili
2026	A	`conf`	Learning-Augmented 360° Video Streaming: Robust Viewport Adaptation with Simple Predictors. MMSys Tianyu Chen, Mohammad Hajiesmaili, Ramesh K. Sitaraman
2026	—	`conf`	Quantifying the Carbon Reduction of DAG Workloads: A Job Shop Scheduling Perspective. GreenSys Roozbeh Bostandoost, Adam Lechowicz, Walid A. Hanafy, Prashant J. Shenoy, Mohammad Hajiesmaili
2026	A	`conf`	The Secretary Problem with Predictions and a Chosen Order. ITCS Helia Karisani, Mohammadreza Daneshvaramoli, Hedyeh Beyhaghi, Mohammad Hajiesmaili, Cameron Musco
2026	J	`jnl`	The Secretary Problem with Predictions and a Chosen Order. CoRR Helia Karisani, Mohammadreza Daneshvaramoli, Hedyeh Beyhaghi, Mohammad Hajiesmaili, Cameron Musco
2025	J	`jnl`	A Performance Analyzer for a Public Cloud's ML-Augmented VM Allocator. CoRR Roozbeh Bostandoost, Pooria Namyar, Siva Kesava Reddy Kakarla, Ryan Beckett, Santiago Segarra, Eli Cortez, Ankur Mallick, Kevin Hsieh, Rodrigo Fonseca, Mohammad Hajiesmaili, Behnaz Arzani
2025	J	`jnl`	A Vision for Computational Decarbonization of Societal Infrastructure. IEEE Internet Comput. David Irwin, Prashant J. Shenoy, Mohammad Hajiesmaili, Walid A. Hanafy, Jimi Oke, Ramesh K. Sitaraman, Yuvraj Agarwal, Geoffrey J. Gordon, Zico Kolter, Deepak Rajagopal, Mani Srivastava, Vivienne Sze, Priya L. Donti, Andrew A. Chien, John R. Birge, Ali Hortaçsu, Line Roald
2025	—	`conf`	Asynchronous Multi-Agent Bandits: Fully Distributed SIGMETRICS (Abstracts) Xuchuang Wang, Yu-Zhen Janice Chen, Xutong Liu, Lin Yang, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui
2025	J	`jnl`	Asynchronous Multi-Agent Bandits: Fully Distributed Proc. ACM Meas. Anal. Comput. Syst. Xuchuang Wang, Yu-Zhen Janice Chen, Xutong Liu, Lin Yang, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui
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	—	`conf`	Combinatorial Logistic Bandits. SIGMETRICS (Abstracts) Xutong Liu, Xiangxiang Dai, Xuchuang Wang, Mohammad Hajiesmaili, John C. S. Lui
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`	Dynamic Incentive Allocation for City-Scale Deep Decarbonization. ACM J. Comput. Sustain. Soc. Anupama Sitaraman, Adam Lechowicz, Noman Bashir, Xutong Liu, Mohammad Hajiesmaili, Prashant J. Shenoy
2025	J	`jnl`	Dynamic Incentive Allocation for City-scale Deep Decarbonization. CoRR Anupama Sitaraman, Adam Lechowicz, Noman Bashir, Xutong Liu, Mohammad Hajiesmaili, Prashant J. Shenoy
2025	J	`jnl`	Fairness in the k-Server Problem. CoRR Mohammadreza Daneshvaramoli, Helia Karisani, Mohammad Hajiesmaili, Shahin Kamali, Cameron Musco
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	J	`jnl`	Green Bin Packing. CoRR Jackson Bibbens, Cooper Sigrist, Bo Sun, Shahin Kamali, Mohammad Hajiesmaili
2025	A*	`conf`	Heterogeneous Multi-Agent Bandits with Parsimonious Hints. AAAI Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo, Yair Zick, Mohammad Hajiesmaili
2025	J	`jnl`	Heterogeneous Multi-Agent Bandits with Parsimonious Hints. CoRR Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo, Yair Zick, Mohammad Hajiesmaili
2025	J	`jnl`	Heterogeneous Multi-agent Multi-armed Bandit on Stochastic Block Models. Proc. ACM Meas. Anal. Comput. Syst. Mengfan Xu, Liren Shan, Fatemeh Ghaffari, Xuchuang Wang, Xutong Liu, Mohammad Hajiesmaili
2025	J	`jnl`	Heterogeneous Multi-agent Multi-armed Bandits on Stochastic Block Models. CoRR Mengfan Xu, Liren Shan, Fatemeh Ghaffari, Xuchuang Wang, Xutong Liu, Mohammad Hajiesmaili
2025	—	`conf`	LEAD: Towards Learning-Based Equity-Aware Decarbonization in Ridesharing Platforms. FAccT Mahsa Sahebdel, Ali Zeynali, Noman Bashir, Prashant J. Shenoy, Mohammad Hajiesmaili
2025	A*	`conf`	Learning Best Paths in Quantum Networks. INFOCOM Xuchuang Wang, Maoli Liu, Xutong Liu, Zhuohua Li, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley
2025	J	`jnl`	Learning Best Paths in Quantum Networks. CoRR Xuchuang Wang, Maoli Liu, Xutong Liu, Zhuohua Li, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley
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`	Lost in Siting: The Hidden Carbon Cost of Inequitable Residential Solar Installations. e-Energy Cooper Sigrist, Adam Lechowicz, Jovan Champ, Noman Bashir, Mohammad Hajiesmaili
2025	J	`jnl`	Lost in Siting: The Hidden Carbon Cost of Inequitable Residential Solar Installations. CoRR Cooper Sigrist, Adam Lechowicz, Jovan Champ, Noman Bashir, Mohammad Hajiesmaili
2025	J	`jnl`	Low-Bitrate Video Compression through Semantic-Conditioned Diffusion. CoRR Lingdong Wang, Guan-Ming Su, Divya Kothandaraman, Tsung-Wei Huang, Mohammad Hajiesmaili, Ramesh K. Sitaraman
2025	—	`conf`	Multi-agent Stochastic Bandits Robust to Adversarial Corruptions. L4DC Fatemeh Ghaffari, Xuchuang Wang, Jinhang Zuo, Mohammad Hajiesmaili
2025	—	`conf`	Multi-objective Evolutionary Learning for Near Pareto-Optimal Optimization of Solar Deployment. BuildSys Cooper Sigrist, Archimedes Li, Alice Zhang, Adam Lechowicz, Noman Bashir, Pichsinee Lertsaroj, Ryan Bahlous-Boldi, Mohammad Hajiesmaili
2025	A*	`conf`	NIVM: Real-time View Morphing via Neural Implicit Function. ACM Multimedia Tung-I Chen, Dae Yeol Lee, Guan-Ming Su, Mohammad Hajiesmaili, Ramesh K. Sitaraman
2025	A*	`conf`	Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems. ICML Mohammadreza Daneshvaramoli, Helia Karisani, Adam Lechowicz, Bo Sun, Cameron Musco, Mohammad Hajiesmaili
2025	J	`jnl`	Offline Clustering of Linear Bandits: Unlocking the Power of Clusters in Data-Limited Environments. CoRR Jingyuan Liu, Zeyu Zhang, Xuchuang Wang, Xutong Liu, John C. S. Lui, Mohammad Hajiesmaili, Carlee Joe-Wong
2025	J	`jnl`	Offline Clustering of Preference Learning with Active-data Augmentation. CoRR Jingyuan Liu, Fatemeh Ghaffari, Xuchuang Wang, Xutong Liu, Mohammad Hajiesmaili, Carlee Joe-Wong
2025	J	`jnl`	Online Experimental Design for Network Tomography. CoRR Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade, Mohammad Hajiesmaili, John C. S. Lui, Ting He, Don Towsley
2025	—	`conf`	Online Fair Allocation of Reusable Resources. SIGMETRICS (Abstracts) Qingsong Liu, Mohammad Hajiesmaili
2025	J	`jnl`	Online Fair Allocation of Reusable Resources. Proc. ACM Meas. Anal. Comput. Syst. Qingsong Liu, Mohammad Hajiesmaili
2025	J	`jnl`	Online Learning to Rank under Corruption: A Robust Cascading Bandits Approach. CoRR Fatemeh Ghaffari, Siddarth Sitaraman, Xutong Liu, Xuchuang Wang, Mohammad Hajiesmaili
2025	J	`jnl`	Online Smoothed Demand Management. CoRR Adam Lechowicz, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, Prashant J. Shenoy
2025	J	`jnl`	Quantifying the Carbon Reduction of DAG Workloads: A Job Shop Scheduling Perspective. CoRR Roozbeh Bostandoost, Adam Lechowicz, Walid A. Hanafy, Prashant J. Shenoy, Mohammad Hajiesmaili
2025	A*	`conf`	Quantum Best Arm Identification with Quantum Oracles. AAAI Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade, Jonathan Allcock, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley
2025	J	`jnl`	Quantum Network Tomography for General Topology with SPAM Errors. CoRR Xuchuang Wang, Matheus Guedes de Andrade, Guus Avis, Yu-Zhen Janice Chen, Mohammad Hajiesmaili, Don Towsley
2025	J	`jnl`	Signal-Aware Workload Shifting Algorithms with Uncertainty-Quantified Predictors. CoRR Ezra Johnson, Adam Lechowicz, Mohammad Hajiesmaili
2025	J	`jnl`	Smoothed Online Optimization for Target Tracking: Robust and Learning-Augmented Algorithms. CoRR Ali Zeynali, Mahsa Sahebdel, Qingsong Liu, Mohammad Hajiesmaili, Ramesh K. Sitaraman
2025	A*	`conf`	Stochastic Bandits Robust to Adversarial Attacks. ICLR Xuchuang Wang, Maoli Liu, Jinhang Zuo, Xutong Liu, John C. S. Lui, Mohammad Hajiesmaili
2025	J	`jnl`	Toward Environmentally Equitable AI. Commun. ACM Mohammad Hajiesmaili, Shaolei Ren, Ramesh K. Sitaraman, Adam Wierman
2024	J	`jnl`	A Holistic Approach for Equity-aware Carbon Reduction of Ridesharing Platforms. CoRR Mahsa Sahebdel, Ali Zeynali, Noman Bashir, Prashant J. Shenoy, Mohammad Hajiesmaili
2024	—	`conf`	A Holistic Approach for Equity-aware Carbon Reduction of the Ridesharing Platforms. e-Energy Mahsa Sahebdel, Ali Zeynali, Noman Bashir, Prashant J. Shenoy, Mohammad Hajiesmaili
2024	—	`conf`	BONES: Near-Optimal Neural-Enhanced Video Streaming. SIGMETRICS/Performance (Abstracts) Lingdong Wang, Simran Singh, Jacob Chakareski, Mohammad Hajiesmaili, Ramesh K. Sitaraman
2024	J	`jnl`	BONES: Near-Optimal Neural-Enhanced Video Streaming. Proc. ACM Meas. Anal. Comput. Syst. Lingdong Wang, Simran Singh, Jacob Chakareski, Mohammad Hajiesmaili, Ramesh K. Sitaraman
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	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	J	`jnl`	Combinatorial Logistic Bandits. CoRR Xutong Liu, Xiangxiang Dai, Xuchuang Wang, Mohammad Hajiesmaili, John C. S. Lui
2024	A*	`conf`	Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond. ICML Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C. S. Lui, Wei Chen
2024	J	`jnl`	Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond. CoRR Xutong Liu, Siwei Wang, Jinhang Zuo, Han Zhong, Xuchuang Wang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili, John C. S. Lui, Wei Chen
2024	J	`jnl`	Competitive Algorithms for Online Knapsack with Succinct Predictions. CoRR Mohammadreza Daneshvaramoli, Helia Karisani, Adam Lechowicz, Bo Sun, Cameron Musco, Mohammad Hajiesmaili
2024	—	`conf`	LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand. e-Energy Roozbeh Bostandoost, Adam Lechowicz, Walid A. Hanafy, Noman Bashir, Prashant J. Shenoy, Mohammad Hajiesmaili
2024	J	`jnl`	LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand. CoRR Roozbeh Bostandoost, Adam Lechowicz, Walid A. Hanafy, Noman Bashir, Prashant J. Shenoy, Mohammad Hajiesmaili
2024	J	`jnl`	LEAD: Towards Learning-Based Equity-Aware Decarbonization in Ridesharing Platforms. CoRR Mahsa Sahebdel, Ali Zeynali, Noman Bashir, Prashant J. Shenoy, Mohammad Hajiesmaili
2024	J	`jnl`	Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions. CoRR Fatemeh Ghaffari, Xuchuang Wang, Jinhang Zuo, Mohammad Hajiesmaili
2024	J	`jnl`	Near-Optimal Emission-Aware Online Ride Assignment Algorithm for Peak Demand Hours. CoRR Ali Zeynali, Mahsa Sahebdel, Noman Bashir, Ramesh K. Sitaraman, Mohammad Hajiesmaili
2024	A*	`conf`	Online Algorithms with Uncertainty-Quantified Predictions. ICML Bo Sun, Jerry Huang, Nicolas Christianson, Mohammad Hajiesmaili, Adam Wierman, Raouf Boutaba
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	—	`conf`	Online Search with Predictions: Pareto-optimal Algorithm and its Applications in Energy Markets. e-Energy Russell Lee, Bo Sun, Mohammad Hajiesmaili, John C. S. Lui
2024	A*	`conf`	Robust Learning-Augmented Dictionaries. ICML Ali Zeynali, Shahin Kamali, Mohammad Hajiesmaili
2024	J	`jnl`	Robust Learning-Augmented Dictionaries. CoRR Ali Zeynali, Shahin Kamali, Mohammad Hajiesmaili
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	J	`jnl`	Stochastic Bandits Robust to Adversarial Attacks. CoRR Xuchuang Wang, Jinhang Zuo, Xutong Liu, John C. S. Lui, Mohammad Hajiesmaili
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	A*	`conf`	Time Fairness in Online Knapsack Problems. ICLR Adam Lechowicz, Rik Sengupta, Bo Sun, Shahin Kamali, Mohammad Hajiesmaili
2024	J	`jnl`	Towards Environmentally Equitable AI. CoRR Mohammad Hajiesmaili, Shaolei Ren, Ramesh K. Sitaraman, Adam Wierman
2023	A*	`conf`	Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits. ICLR Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui
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	A*	`conf`	Applied Online Algorithms with Heterogeneous Predictors. ICML Jessica Maghakian, Russell Lee, Mohammad Hajiesmaili, Jian Li, Ramesh K. Sitaraman, Zhenhua Liu
2023	J	`jnl`	BOLA360: Near-optimal View and Bitrate Adaptation for 360-degree Video Streaming. CoRR Ali Zeynali, Mohammad Hajiesmaili, Ramesh K. Sitaraman
2023	J	`jnl`	BONES: Near-Optimal Neural-Enhanced Video Streaming. CoRR Lingdong Wang, Simran Singh, Jacob Chakareski, Mohammad Hajiesmaili, Ramesh K. Sitaraman
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`	Cooperative Multi-agent Bandits: Distributed Algorithms with Optimal Individual Regret and Constant Communication Costs. CoRR Lin Yang, Xuchuang Wang, Mohammad Hajiesmaili, Lijun Zhang, John C. S. Lui, Don Towsley
2023	—	`conf`	Equitable Network-Aware Decarbonization of Residential Heating at City Scale. e-Energy Adam Lechowicz, Noman Bashir, John Wamburu, Mohammad Hajiesmaili, Prashant J. Shenoy
2023	A	`conf`	Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits? UAI Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui
2023	A*	`conf`	No-regret Algorithms for Fair Resource Allocation. NeurIPS Abhishek Sinha, Ativ Joshi, Rajarshi Bhattacharjee, Cameron Musco, Mohammad Hajiesmaili
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	—	`conf`	Quantifying the Decarbonization Potential of Flexible Load. BuildSys Phuthipong Bovornkeeratiroj, Noman Bashir, Vivek Deulkar, Bharathan Balaji, Prashant J. Shenoy, David Irwin, Mohammad Hajiesmaili
2023	J	`jnl`	Quantum Best Arm Identification. SIGMETRICS Perform. Evaluation Rev. Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley
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	—	`conf`	The War of the Efficiencies: Understanding the Tension between Carbon and Energy Optimization. HotCarbon Walid A. Hanafy, Roozbeh Bostandoost, Noman Bashir, David Irwin, Mohammad Hajiesmaili, Prashant J. Shenoy
2023	J	`jnl`	The War of the Efficiencies: Understanding the Tension between Carbon and Energy Optimization. CoRR Walid A. Hanafy, Roozbeh Bostandoost, Noman Bashir, David Irwin, Mohammad Hajiesmaili, Prashant J. Shenoy