Least Square Calibration for Peer Reviews

Related tags

Deep LearningLSC
Overview

Least Square Calibration for Peer Reviews

Requirements

  • gurobipy -> for solving convex programs
  • GPy -> for Bayesian baseline
  • numpy
  • pandas

To generate paper review data, execute

python generate_data.py

which will generate 20 trials of paper review data in the data/linear folder.

To generate data from the peer grading dataset, execute

python convert_peer_grade.py

To run a model on these 20 trials, execute

python main.py --m $model

where $model can be one of LSC_mono, LSC_card, QP, bayesian

To run a model in the noisy setting, change noise_std at line 183 of main.py to 0.5, and then execute the command above.

Owner
Sigma [email protected]
Research projects in the Strategic IntelliGence for Machine Agents (SIGMA) Lab
Sigma <a href=[email protected]">
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