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无权访问的条目
会议论文
作者:
Liu, Qianyu(刘芊渝)
;
Li, Xinran(李欣然)
;
Du, Xiaocong(杜晓聪)
;
Li, Quan(李权)
Adobe PDF(6100Kb)
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收藏
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浏览/下载:24/5
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提交时间:2025/03/12
Optimistic Joint Flow Control and Link Scheduling with Unknown Utility Functions
会议论文
PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON MOBILE AD HOC NETWORKING AND COMPUTING (MOBIHOC), Athens, Greece, October 14, 2024 - October 17, 2024
作者:
Liu, Xin
;
Wei, Honghao
;
Ying, Lei
Adobe PDF(5108Kb)
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收藏
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浏览/下载:165/32
|
提交时间:2024/11/08
Delay control systems
Oscillating flow
Queueing theory
Link scheduling
Network utility
Network utility maximization
Online learning
Optimistic online learning
Optimistics
Trade off
Utility delay trade-off
Utility delays
Utility maximizations
The Nah Bandit: Modeling User Non-compliance in Recommendation Systems
预印本
2024
作者:
Zhou, Tianyue
;
Cho, Jung-Hoon
;
Wu, Cathy
Adobe PDF(1627Kb)
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收藏
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浏览/下载:160/0
|
提交时间:2024/08/26
Online preference learning
Contextual bandit
Non-compliance
Clustering
Recommendation system
Expert advice
Expert with Clustering: Hierarchical Online Preference Learning Framework
会议论文
PROCEEDINGS OF MACHINE LEARNING RESEARCH, Oxford, United kingdom, July 15, 2024 - July 17, 2024
作者:
Zhou, Tianyue
;
Cho, Jung-Hoon
;
Ardabili, Babak Rahimi
;
Tabkhi, Hamed
;
Wu, Cathy
Adobe PDF(464Kb)
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收藏
|
浏览/下载:216/1
|
提交时间:2024/10/11
Adversarial machine learning
Federated learning
Hierarchical clustering
Recommender systems
Clusterings
Contextual banditti
Eco-driving
Eco-driving recommendation
Expert advice
Online preference learning
Preference learning
Regret bounds
User information
User's preferences
Expert with Clustering: Hierarchical Online Preference Learning Framework
会议论文
6TH ANNUAL LEARNING FOR DYNAMICS & CONTROL CONFERENCE, Univ Oxford,Oxford,ENGLAND, JUL 15-17, 2024
作者:
Zhou, Tianyue
;
Cho, Jung-Hoon
;
Ardabili, Babak Rahimi
;
Tabkhi, Hamed
;
Wu, Cathy
Adobe PDF(464Kb)
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收藏
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浏览/下载:166/2
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提交时间:2024/07/08
Online preference learning
Contextual bandit
Clustering
Eco-driving recommendation
Expert advice
Online Nonstochastic Control with Adversarial and Static Constraints
会议论文
PROCEEDINGS OF MACHINE LEARNING RESEARCH, Honolulu, HI, United states, July 23, 2023 - July 29, 2023
作者:
Liu, Xin
;
Yang, Zixian
;
Ying, Lei
Adobe PDF(1822Kb)
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收藏
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浏览/下载:160/0
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提交时间:2023/11/10
Constrained optimization
Linear control systems
Machine learning
Subroutines
Constraint violation
Control policy
Control problems
Cumulative cost
Linear controls
Non-stochastic
Online convex optimizations
State of the art
Static constraints
Sublinear
Next-Word Prediction: A Perspective of Energy-Aware Distributed Inference
期刊论文
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2023, 卷号: PP, 期号: 99, 页码: 1-14
作者:
Shangshang Wang
;
Ziyu Shao
;
John C.S. Lui
Adobe PDF(7221Kb)
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收藏
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浏览/下载:245/0
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提交时间:2023/09/22
Budget control
E-learning
Economic and social effects
Energy utilization
Forecasting
Inference engines
Learning algorithms
Learning systems
Modeling languages
Natural language processing systems
Numerical methods
Quality control
Computational modelling
Distributed inference
Edge natural language processing
Energy-consumption
Language processing
Natural language processing
Natural languages
Next-word prediction
On-line controls
Online learning
Predictive models
Quality of experience
Quality-of-service
Word prediction
ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning
预印本
2022
作者:
Wang, Haozhe
;
Du, Chao
;
Fang, Panyan
;
Yuan, Shuo
;
He, Xuming
Adobe PDF(1234Kb)
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收藏
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浏览/下载:155/0
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提交时间:2024/01/09
Online Advertising
Reinforcement Learning
Bayesian Learning
Online Bayesian learning for mixtures of spatial spline regressions with mixed effects
期刊论文
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2022
作者:
Ge, Shufei
;
Wang, Shijia
;
Nathoo, Farouk S.
;
Wang, Liangliang
收藏
|
浏览/下载:348/0
|
提交时间:2021/12/03
Online learning
sequential Monte Carlo
functional data analysis
FLIRRAS: Fast Learning with Integrated Reward and Reduced Action Space for Online Multi-Task Offloading
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 10, 期号: 6, 页码: 1-1
作者:
Ma, Mulei
;
Gong, Chenyu
;
Wu, Liantao
;
Yang, Yang
Adobe PDF(3279Kb)
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收藏
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浏览/下载:246/1
|
提交时间:2022/12/16
Complex networks
Computer games
Convex optimization
Deep neural networks
E-learning
Edge computing
Game theory
Heuristic algorithms
Information management
Internet of things
Iterative methods
Numerical methods
Quality of service
Reinforcement learning
Edge computing
Heuristics algorithm
Low-complexity deep reinforcement learning
Lower complexity
Multi-access edge computing
Multiaccess
Online task offloading
Optimisations
Reinforcement learnings
Resource management
Resources allocation
Task analysis
Task offloading
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