3 citations · 3 across the 6 of their papers we have counts for
7 papers
Equilibria in Large Position-Optimization Games
Rafael Frongillo, Melody Hsu, Mary Monroe +1
We propose a general class of symmetric games called position-optimization games. Given a probability distribution over a set of targets , the players each cho…
WOMAC: A Mechanism For Prediction Competitions
Siddarth Srinivasan, Tao Lin, Connacher Murphy +3
Competitions are widely used to identify top performers in judgmental forecasting and machine learning, and the standard competition design ranks competitors based on their cumulat…
Consistency Conditions for Differentiable Surrogate Losses
Drona Khurana, Anish Thilagar, Dhamma Kimpara +1
The statistical consistency of surrogate losses for discrete prediction tasks is often checked via the condition of calibration. However, directly verifying calibration can be ardu…
Hedging and Approximate Truthfulness in Traditional Forecasting Competitions
Mary Monroe, Anish Thilagar, Melody Hsu +1
In forecasting competitions, the traditional mechanism scores the predictions of each contestant against the outcome of each event, and the contestant with the highest total score…
Forecasting Competitions with Correlated Events
Rafael Frongillo, Manuel Lladser, Anish Thilagar +1
Beginning with Witkowski et al. [2022], recent work on forecasting competitions has addressed incentive problems with the common winner-take-all mechanism. Frongillo et al. [2021]…
Consistent Polyhedral Surrogates for Top- Classification and Variants
Jessie Finocchiaro, Rafael Frongillo, Emma Goodwill +1
Top- classification is a generalization of multiclass classification used widely in information retrieval, image classification, and other extreme classification settings. Sever…
Efficient Competitions and Online Learning with Strategic Forecasters
Rafael Frongillo, Robert Gomez, Anish Thilagar +1
Winner-take-all competitions in forecasting and machine-learning suffer from distorted incentives. Witkowski et al. 2018 identified this problem and proposed ELF, a truthful mechan…