1 citations · 1 across the 4 of their papers we have counts for
5 papers
Social Learning of Ranking: Getting the Top Right despite Local Herding
Shahrzad Haddadan, Jie Gao
In sequential learning, a group of agents sequentially receives a noisy private signal and observes the predictions of prior agents to estimate a hidden ground truth. While extensi…
Maximizing Truth Learning in a Social Network is NP-hard
Filip Úradník, Amanda Wang, Jie Gao
Sequential learning models situations where agents predict a ground truth in sequence, by using their private, noisy measurements, and the predictions of agents who came earlier in…
Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms
Chengyuan Deng, Jie Gao, Kevin Lu +3
We introduce Non-Euclidean-MDS (Neuc-MDS), an extension of classical Multidimensional Scaling (MDS) that accommodates non-Euclidean and non-metric inputs. The main idea is to gener…
Enabling Asymptotic Truth Learning in a Social Network
Kevin Lu, Jordan Chong, Matt Lu +1
Consider a network of agents that all want to guess the correct value of some ground truth state. In a sequential order, each agent makes its decision using a single private signal…
Optimally Improving Cooperative Learning in a Social Setting
Shahrzad Haddadan, Cheng Xin, Jie Gao
We consider a cooperative learning scenario where a collection of networked agents with individually owned classifiers dynamically update their predictions, for the same classifica…