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09/07/2023
BOLA360: Near-optimal View and Bitrate Adaptation for 360-degree Video Streaming
Recent advances in omnidirectional cameras and AR/VR headsets have spurr...
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08/08/2023
Cooperative Multi-agent Bandits: Distributed Algorithms with Optimal Individual Regret and Constant Communication Costs
Recently, there has been extensive study of cooperative multi-agent mult...
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06/29/2023
The War of the Efficiencies: Understanding the Tension between Carbon and Energy Optimization
Major innovations in computing have been driven by scaling up computing ...
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05/26/2023
Adversarial Attacks on Online Learning to Rank with Click Feedback
Online learning to rank (OLTR) is a sequential decision-making problem w...
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05/22/2023
Time Fairness in Online Knapsack Problems
The online knapsack problem is a classic problem in the field of online ...
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03/30/2023
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting
We introduce and study the online pause and resume problem. In this prob...
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03/30/2023
Contextual Combinatorial Bandits with Probabilistically Triggered Arms
We study contextual combinatorial bandits with probabilistically trigger...
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03/11/2023
No-regret Algorithms for Fair Resource Allocation
We consider a fair resource allocation problem in the no-regret setting ...
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02/15/2023
On-Demand Communication for Asynchronous Multi-Agent Bandits
This paper studies a cooperative multi-agent multi-armed stochastic band...
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01/11/2023
Equitable Network-Aware Decarbonization of Residential Heating at City Scale
Residential heating, primarily powered by natural gas, accounts for a si...
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01/11/2023
Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks
With the rapid acceleration of transportation electrification, public ch...
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11/12/2022
Pareto-Optimal Learning-Augmented Algorithms for Online k-Search Problems
This paper leverages machine learned predictions to design online algori...
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09/24/2022
The Online Knapsack Problem with Departures
The online knapsack problem is a classic online resource allocation prob...
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09/12/2022
CU-Net: Efficient Point Cloud Color Upsampling Network
Point cloud upsampling is necessary for Augmented Reality, Virtual Reali...
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01/23/2022
Distributed Bandits with Heterogeneous Agents
This paper tackles a multi-agent bandit setting where M agents cooperate...
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09/03/2021
Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems
This paper leverages machine-learned predictions to design competitive a...
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06/16/2021
Enabling Sustainable Clouds: The Case for Virtualizing the Energy System
Cloud platforms' growing energy demand and carbon emissions are raising ...
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12/09/2020
Data-driven Competitive Algorithms for Online Knapsack and Set Cover
The design of online algorithms has tended to focus on algorithms with w...
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10/01/2020
Competitive Algorithms for the Online Multiple Knapsack Problem with Application to Electric Vehicle Charging
We introduce and study a general version of the fractional online knapsa...
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04/08/2020
Hedge Your Bets: Optimizing Long-term Cloud Costs by Mixing VM Purchasing Options
Cloud platforms offer the same VMs under many purchasing options that sp...
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04/30/2019