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Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives

Machine learning, 2021-06, Vol.110 (6), p.1233-1266

2021

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Functional Contour-following via Haptic Perception and Reinforcement Learning

IEEE transactions on haptics, 2018-01, Vol.11 (1), p.61-72

2018

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Thompson Sampling for Combinatorial Network Optimization in Unknown Environments

IEEE/ACM transactions on networking, 2020-12, Vol.28 (6), p.2836-2849

2020

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Online Learning of Rested and Restless Bandits

IEEE transactions on information theory, 2012-08, Vol.58 (8), p.5588-5611

2012

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Multi-objective Contextual Multi-armed Bandit With a Dominant Objective

IEEE transactions on signal processing, 2018-07, Vol.66 (14), p.3799-3813

2018

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Distributed Online Learning via Cooperative Contextual Bandits

IEEE transactions on signal processing, 2015-07, Vol.63 (14), p.3700-3714

2015

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A Non-Stochastic Learning Approach to Energy Efficient Mobility Management

IEEE journal on selected areas in communications, 2016-12, Vol.34 (12), p.3854-3868

2016

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Multi-User Small Base Station Association via Contextual Combinatorial Volatile Bandits

IEEE transactions on communications, 2021-06, Vol.69 (6), p.3726-3740

2021

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Assessment of capillary phenomena in liquid composite molding

Composites. Part A, Applied science and manufacturing, 2019-05, Vol.120, p.73-83

2019

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Exploiting Relevance for Online Decision-Making in High-Dimensions

IEEE transactions on signal processing, 2021, Vol.69, p.1438-1451

2021

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Online Learning in Large-Scale Contextual Recommender Systems

IEEE transactions on services computing, 2016-05, Vol.9 (3), p.433-445

2016

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Adaptive Ensemble Learning With Confidence Bounds

IEEE transactions on signal processing, 2017-02, Vol.65 (4), p.888-903

2017

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Decentralized Dynamic Rate and Channel Selection Over a Shared Spectrum

IEEE transactions on communications, 2021-06, Vol.69 (6), p.3787-3801

2021

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Global Bandits

IEEE transaction on neural networks and learning systems, 2018-12, Vol.29 (12), p.5798-5811

2018

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Conservative Policy Construction Using Variational Autoencoders for Logged Data With Missing Values

IEEE transaction on neural networks and learning systems, 2023-09, Vol.34 (9), p.6368-6378

2023

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Rate and Channel Adaptation in Cognitive Radio Networks Under Time-Varying Constraints

IEEE communications letters, 2020-12, Vol.24 (12), p.2979-2983

2020

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Active Learning in Context-Driven Stream Mining With an Application to Image Mining

IEEE transactions on image processing, 2015-11, Vol.24 (11), p.3666-3679

2015

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Online Bayesian Learning for Rate Selection in Millimeter Wave Cognitive Radio Networks

IEEE INFOCOM 2020 - IEEE Conference on Computer Communications, 2020, p.1449-1458

2020

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Generalized Global Bandit and Its Application in Cellular Coverage Optimization

IEEE journal of selected topics in signal processing, 2018-02, Vol.12 (1), p.218-232

2018

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Online Context-Aware Task Assignment in Mobile Crowdsourcing via Adaptive Discretization

IEEE transactions on network science and engineering, 2023-01, Vol.10 (1), p.305-320

2023

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RELEAF: An Algorithm for Learning and Exploiting Relevance

IEEE journal of selected topics in signal processing, 2015-06, Vol.9 (4), p.716-727

2015

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Feedback Adaptive Learning for Medical and Educational Application Recommendation

IEEE transactions on services computing, 2022-07, Vol.15 (4), p.2144-2157

2022

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Online Learning in Limit Order Book Trade Execution

IEEE transactions on signal processing, 2018-09, Vol.66 (17), p.4626-4641

2018

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Big-Data Streaming Applications Scheduling Based on Staged Multi-Armed Bandits

IEEE transactions on computers, 2016-12, Vol.65 (12), p.3591-3605

2016

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Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing

IEEE/ACM transactions on networking, 2018-06, Vol.26 (3), p.1334-1347

2018

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Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives

Functional Contour-following via Haptic Perception and Reinforcement Learning

Thompson Sampling for Combinatorial Network Optimization in Unknown Environments

Online Learning of Rested and Restless Bandits

Multi-objective Contextual Multi-armed Bandit With a Dominant Objective

Distributed Online Learning via Cooperative Contextual Bandits

A Non-Stochastic Learning Approach to Energy Efficient Mobility Management

Multi-User Small Base Station Association via Contextual Combinatorial Volatile Bandits

Assessment of capillary phenomena in liquid composite molding

Exploiting Relevance for Online Decision-Making in High-Dimensions

Online Learning in Large-Scale Contextual Recommender Systems

Adaptive Ensemble Learning With Confidence Bounds

Decentralized Dynamic Rate and Channel Selection Over a Shared Spectrum

Global Bandits

Conservative Policy Construction Using Variational Autoencoders for Logged Data With Missing Values

Rate and Channel Adaptation in Cognitive Radio Networks Under Time-Varying Constraints

Active Learning in Context-Driven Stream Mining With an Application to Image Mining

Online Bayesian Learning for Rate Selection in Millimeter Wave Cognitive Radio Networks

Generalized Global Bandit and Its Application in Cellular Coverage Optimization

Online Context-Aware Task Assignment in Mobile Crowdsourcing via Adaptive Discretization

RELEAF: An Algorithm for Learning and Exploiting Relevance

Feedback Adaptive Learning for Medical and Educational Application Recommendation

Online Learning in Limit Order Book Trade Execution

Big-Data Streaming Applications Scheduling Based on Staged Multi-Armed Bandits

Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing

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