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Federated Multi-armed Bandits with Personalization
A general framework of personalized federated multi-armed bandits (PF-MA...
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Federated Multi-Armed Bandits
Federated multi-armed bandits (FMAB) is a new bandit paradigm that paral...
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SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups
Phase I clinical trials are designed to test the safety (non-toxicity) o...
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Federated Learning over Noisy Channels: Convergence Analysis and Design Examples
Does Federated Learning (FL) work when both uplink and downlink communic...
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Underactuated Motion Planning and Control for Jumping with Wheeled-Bipedal Robots
This paper studies jumping for wheeled-bipedal robots, a motion that tak...
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Design and Analysis of Uplink and Downlink Communications for Federated Learning
Communication has been known to be one of the primary bottlenecks of fed...
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On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications
We study the notoriously difficult no-sensing adversarial multi-player m...
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Autonomous Social Distancing in Urban Environments using a Quadruped Robot
COVID-19 pandemic has become a global challenge faced by people all over...
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Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification
Subgroup analysis of treatment effects plays an important role in applic...
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Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints
Phase I dose-finding trials are increasingly challenging as the relation...
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Stochastic Linear Contextual Bandits with Diverse Contexts
In this paper, we investigate the impact of context diversity on stochas...
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Decentralized Multi-player Multi-armed Bandits with No Collision Information
The decentralized stochastic multi-player multi-armed bandit (MP-MAB) pr...
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Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching
This paper investigates learning-based caching in small-cell networks (S...
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Contextual Constrained Learning for Dose-Finding Clinical Trials
Clinical trials in the medical domain are constrained by budgets. The nu...
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A Regression Approach to Certain Information Transmission Problems
A general information transmission model, under independent and identica...
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Online Learning with Diverse User Preferences
In this paper, we investigate the impact of diverse user preference on l...
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Towards Optimal Power Control via Ensembling Deep Neural Networks
A deep neural network (DNN) based power control method is proposed, whic...
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Cost-aware Cascading Bandits
In this paper, we propose a cost-aware cascading bandits model, a new va...
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Cost-Aware Learning and Optimization for Opportunistic Spectrum Access
In this paper, we investigate cost-aware joint learning and optimization...
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Regional Multi-Armed Bandits
We consider a variant of the classic multi-armed bandit problem where th...
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New Results on Multilevel Diversity Coding with Secure Regeneration
The problem of multilevel diversity coding with secure regeneration is r...
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Multilevel Diversity Coding with Secure Regeneration: Separate Coding Achieves the MBR Point
The problem of multilevel diversity coding with secure regeneration (MDC...
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An Iterative BP-CNN Architecture for Channel Decoding
Inspired by recent advances in deep learning, we propose a novel iterati...
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