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Explainable Composition of Aggregated Assistants
A new design of an AI assistant that has become increasingly popular is ...
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Online Semi-Supervised Learning with Bandit Feedback
We formulate a new problem at the intersectionof semi-supervised learnin...
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Double-Linear Thompson Sampling for Context-Attentive Bandits
In this paper, we analyze and extend an online learning framework known ...
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From Robotic Process Automation to Intelligent Process Automation: Emerging Trends
In this survey, we study how recent advances in machine intelligence are...
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A Conversational Digital Assistant for Intelligent Process Automation
Robotic process automation (RPA) has emerged as the leading approach to ...
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Contextual Bandit with Missing Rewards
We consider a novel variant of the contextual bandit problem (i.e., the ...
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Explainability of Intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case
Usage of automated controllers which make decisions on an environment ar...
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A Snooze-less User-Aware Notification System for Proactive Conversational Agents
The ubiquity of smart phones and electronic devices has placed a wealth ...
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Federated Learning with Matched Averaging
Federated learning allows edge devices to collaboratively learn a shared...
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D3BA: A Tool for Optimizing Business Processes Using Non-Deterministic Planning
This paper builds upon recent work in the declarative design of dialogue...
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A Unified Conversational Assistant Framework for Business Process Automation
Business process automation is a booming multi-billion-dollar industry t...
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A Bandit Approach to Posterior Dialog Orchestration Under a Budget
Building multi-domain AI agents is a challenging task and an open proble...
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Bayesian Nonparametric Federated Learning of Neural Networks
In federated learning problems, data is scattered across different serve...
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