Robust learning in social networks via matrix scaling
From MaRDI portal
Publication:2060364
DOI10.1016/j.orl.2021.08.002OpenAlexW3190672712MaRDI QIDQ2060364
Yakov Babichenko, Segev Shlomov
Publication date: 13 December 2021
Published in: Operations Research Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.orl.2021.08.002
Cites Work
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- The rate of convergence of Sinkhorn balancing
- Eigenvalue bounds on convergence to stationarity for nonreversible Markov chains, with an application to the exclusion process
- On the uniqueness of fully informative rational expectations equilibria
- Information diffusion in networks with the Bayesian peer influence heuristic
- On the complexity of general matrix scaling and entropy minimization via the RAS algorithm
- Concerning nonnegative matrices and doubly stochastic matrices
- Bayesian Learning in Social Networks
- The Sinkhorn–Knopp Algorithm: Convergence and Applications
- The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment
- A general framework for rational learning in social networks
- Strategic Learning and the Topology of Social Networks
- Reaching a Consensus
- Bayesian Decision Making in Groups is Hard