Search Results - "Adjodah, Dhaval"

Association between COVID-19 outcomes and mask mandates, adherence, and attitudes by Adjodah, Dhaval, Dinakar, Karthik, Chinazzi, Matteo, Fraiberger, Samuel P, Pentland, Alex, Bates, Samantha, Staller, Kyle, Vespignani, Alessandro, Bhatt, Deepak L

“…We extend previous studies on the impact of masks on COVID-19 outcomes by investigating an unprecedented breadth and depth of health outcomes, geographical…”
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Accuracy-Risk Trade-Off Due to Social Learning in Crowd-Sourced Financial Predictions by Adjodah, Dhaval, Leng, Yan, Chong, Shi Kai, Krafft, P. M., Moro, Esteban, Pentland, Alex

“…A critical question relevant to the increasing importance of crowd-sourced-based finance is how to optimize collective information processing and…”
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Why voters who value democracy participate in democratic backsliding by Braley, Alia, Lenz, Gabriel S., Adjodah, Dhaval, Rahnama, Hossein, Pentland, Alex

“…Around the world, citizens are voting away the democracies they claim to cherish. Here we present evidence that this behaviour is driven in part by the belief…”
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Multilingual Detection of Personal Employment Status on Twitter by Tonneau, Manuel, Adjodah, Dhaval, Palotti, João, Grinberg, Nir, Fraiberger, Samuel

“…Detecting disclosures of individuals' employment status on social media can provide valuable information to match job seekers with suitable vacancies, offer…”
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Social Learning and the Accuracy-Risk Trade-off in the Wisdom of the Crowd by Adjodah, Dhaval, Leng, Yan, Chong, Shi Kai, Krafft, P. M, Moro, Esteban, Pentland, Alex

“…How do we design and deploy crowdsourced prediction platforms for real-world applications where risk is an important dimension of prediction performance? To…”
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A Study of Compositional Generalization in Neural Models by Klinger, Tim, Adjodah, Dhaval, Marois, Vincent, Joseph, Josh, Riemer, Matthew, Pentland, Alex 'Sandy', Campbell, Murray

“…Compositional and relational learning is a hallmark of human intelligence, but one which presents challenges for neural models. One difficulty in the…”
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Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning by Adjodah, Dhaval, Calacci, Dan, Dubey, Abhimanyu, Goyal, Anirudh, Krafft, Peter, Moro, Esteban, Pentland, Alex

“…AAMAS 2020 A common technique to improve learning performance in deep reinforcement learning (DRL) and many other machine learning algorithms is to run…”
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How to Organize your Deep Reinforcement Learning Agents: The Importance of Communication Topology by Adjodah, Dhaval, Calacci, Dan, Dubey, Abhimanyu, Krafft, Peter, Moro, Esteban, Pentland, Alex `Sandy'

“…In this empirical paper, we investigate how learning agents can be arranged in more efficient communication topologies for improved learning. This is an…”
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Large-Scale Experiment on the Importance of Social Learning and Unimodality in the Wisdom of the Crowd by Adjodah, Dhaval, Chong, Shi Kai, Leng, Yan, Krafft, Peter, Pentland, Alex

“…In this study, we build on previous research to understand the conditions within which the Wisdom of the Crowd (WoC) improves or worsens as a result of showing…”
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Social Bayesian Learning in the Wisdom of the Crowd by Adjodah, Dhaval, Leng, Yan, Chong, Shi Kai, Krafft, Peter, Pentland, Alex

“…Being able to correctly aggregate the beliefs of many people into a single belief is a problem fundamental to many important social, economic and political…”
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Improved Learning in Evolution Strategies via Sparser Inter-Agent Network Topologies by Adjodah, Dhaval, Calacci, Dan, Leng, Yan, Krafft, Peter, Moro, Esteban, Pentland, Alex

“…We draw upon a previously largely untapped literature on human collective intelligence as a source of inspiration for improving deep learning. Implicit in many…”
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