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Robust Decision Aggregation with Adversarial Experts
The decision maker does not know the specific information structure, which is a joint distribution of signals, states, and strategies of adversarial experts.
Algorithmic Robust Forecast Aggregation
Given a family of information structures, robust forecast aggregation aims to find the aggregator with minimal worst-case regret compared to the omniscient aggregator.
Near-Optimal Experimental Design Under the Budget Constraint in Online Platforms
A/B testing, or controlled experiments, is the gold standard approach to causally compare the performance of algorithms on online platforms.
Modularity and Mutual Information in Networks: Two Sides of the Same Coin
At a high level, we show the significance of community structure is equivalent to the amount of information contained in the network.
Community Detection
Social and Information Networks
