Setareh Maghsudi

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Bernhard Schölkopf
271 publications
Jie Xu
169 publications
Mihaela van der Schaar
138 publications
Ekram Hossain
69 publications
Tianyi Zhou
60 publications
Slawomir Stanczak
52 publications
Meng Fang
42 publications
David Bermbach
39 publications
Jingge Zhu
27 publications
Tobias Pfandzelter
27 publications
Mohamed Akrout
26 publications

research

∙ 09/07/2023

Learning of Generalizable and Interpretable Knowledge in Grid-Based Reinforcement Learning Environments

Understanding the interactions of agents trained with deep reinforcement...

0 Manuel Eberhardinger, et al. ∙

research

∙ 08/31/2023

Federated Learning in UAV-Enhanced Networks: Joint Coverage and Convergence Time Optimization

Federated learning (FL) involves several devices that collaboratively tr...

0 Mariam Yahya, et al. ∙

research

∙ 07/26/2023

Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards

We study the piecewise stationary combinatorial semi-bandit problem with...

0 Behzad Nourani-Koliji, et al. ∙

research

∙ 07/18/2023

Online Learning with Costly Features in Non-stationary Environments

Maximizing long-term rewards is the primary goal in sequential decision-...

0 Saeed Ghoorchian, et al. ∙

research

∙ 07/18/2023

Non-stationary Delayed Combinatorial Semi-Bandit with Causally Related Rewards

Sequential decision-making under uncertainty is often associated with lo...

0 Saeed Ghoorchian, et al. ∙

research

∙ 06/29/2023

Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning

We propose a novel value approximation method, namely Eigensubspace Regu...

0 Qiang He, et al. ∙

research

∙ 06/09/2023

Distributed Consensus Algorithm for Decision-Making in Multi-agent Multi-armed Bandit

We study a structured multi-agent multi-armed bandit (MAMAB) problem in ...

0 Xiaotong Cheng, et al. ∙

research

∙ 05/30/2023

Cooperative Thresholded Lasso for Sparse Linear Bandit

We present a novel approach to address the multi-agent sparse contextual...

0 Haniyeh Barghi, et al. ∙

research

∙ 02/10/2023

Piecewise-Stationary Multi-Objective Multi-Armed Bandit with Application to Joint Communications and Sensing

We study a multi-objective multi-armed bandit problem in a dynamic envir...

0 Amir Rezaei Balef, et al. ∙

research

∙ 02/07/2023

Robustness Implies Fairness in Casual Algorithmic Recourse

Algorithmic recourse aims to disclose the inner workings of the black-bo...

0 Ahmad-Reza Ehyaei, et al. ∙

research

∙ 12/25/2022

Linear Combinatorial Semi-Bandit with Causally Related Rewards

In a sequential decision-making problem, having a structural dependency ...

0 Behzad Nourani-Koliji, et al. ∙

research

∙ 11/14/2022

Hypothesis Transfer in Bandits by Weighted Models

We consider the problem of contextual multi-armed bandits in the setting...

0 Steven Bilaj, et al. ∙

research

∙ 05/19/2022

A Learning-Based Approach to Approximate Coded Computation

Lagrange coded computation (LCC) is essential to solving problems about ...

0 Navneet Agrawal, et al. ∙

research

∙ 03/28/2022

Distributed Task Management in the Heterogeneous Fog: A Socially Concave Bandit Game

Fog computing has emerged as a potential solution to the explosive compu...

0 Xiaotong Cheng, et al. ∙

research

∙ 03/09/2022

Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization

Recent advances in domain adaptation establish that requiring a low risk...

0 Sofien Dhouib, et al. ∙

research

∙ 02/07/2022

Bayesian Linear Bandits for Large-Scale Recommender Systems

Potentially, taking advantage of available side information boosts the p...

0 Saeed Ghoorchian, et al. ∙

research

∙ 02/22/2021

Mobility-Aware Routing and Caching: A Federated Learning Assisted Approach

We develop mobility-aware routing and caching strategies to solve the ne...

0 Yuwen Cao, et al. ∙

research

∙ 01/19/2021

Personalized Education in the AI Era: What to Expect Next?

The objective of personalized learning is to design an effective knowled...

19 Setareh Maghsudi, et al. ∙

research

∙ 09/01/2020

Distributed Cooperation Under Uncertainty in Drone-Based Wireless Networks: A Bayesian Coalitional Game

We study the resource sharing problem in a drone-based wireless network....

0 Vandana Mittal, et al. ∙

research

∙ 08/27/2020

Computational Models of Human Decision-Making with Application to the Internet of Everything

The concept of the Internet of Things (IoT) first appeared a few decades...

0 Setareh Maghsudi, et al. ∙

research

∙ 08/14/2020

Computation Offloading in Heterogeneous Vehicular Edge Networks: On-line and Off-policy Bandit Solutions

With the rapid advancement in vehicular communications and intelligent t...

0 Arash Bozorgchenani, et al. ∙

research

∙ 06/26/2020

Distributed Uplink Beamforming in Cell-Free Networks Using Deep Reinforcement Learning

The emergence of new wireless technologies together with the requirement...

0 Firas Fredj, et al. ∙

research

∙ 02/04/2020

EdgeDASH: Exploiting Network-Assisted Adaptive Video Streaming for Edge Caching

While edge video caching has great potential to decrease the core networ...

0 Suzan Bayhan, et al. ∙

research

∙ 12/12/2019

Towards Auction-Based Function Placement in Serverless Fog Platforms

The Function-as-a-Service (FaaS) paradigm has a lot of potential as a co...

0 David Bermbach, et al. ∙

research

∙ 04/12/2019

Multi-Armed Bandit for Energy-Efficient and Delay-Sensitive Edge Computing in Dynamic Networks with Uncertainty

In the emerging edge-computing paradigm, mobile devices offload the comp...

0 Saeed Ghoorchian, et al. ∙

research

∙ 12/09/2018

Distributed Task Management in Cyber-Physical Systems: How to Cooperate under Uncertainty?

We consider the problem of task allocation in a network of cyber-physica...

0 Setareh Maghsudi, et al. ∙

research

∙ 11/20/2017

Mobile Edge Computation Offloading Using Game Theory and Reinforcement Learning

Due to the ever-increasing popularity of resource-hungry and delay-const...

0 Shermila Ranadheera, et al. ∙

research

∙ 10/16/2017

Computation Offloading and Activation of Mobile Edge Computing Servers: A Minority Game

With the ever-increasing popularity of resource-intensive mobile applica...

0 Shermila Ranadheera, et al. ∙

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