Research map / Learning theory and algorithms / Submodular and game algorithms
Online Market Equilibrium with Application to Fair Division
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use PACE for online allocation instead of the proportional-share solution | Online fair division · MovieLens, Household Items, and synthetic [0,1] market | time-averaged utility | Helped |
| Run PACE for 10 epochs | PACE · MovieLens, Household Items, and synthetic [0,1] market | relative error of pacing multipliers and time-averaged utilities: within 5 % | Helped |
| Use PACE to adjust pacing multipliers based on time-averaged utility | PACE · MovieLens, Household Items, and synthetic [0,1] market | convergence speed | Mixed |
| Use PACE under i.i.d. item arrivals | Online Fisher markets · Underlying static market | pacing multipliers: O((\log t)/t) | Helped |
| Use PACE under i.i.d. item arrivals | Online Fisher markets · Underlying static market | time-averaged utilities: O((\log t)/t) | Helped |
| Use PACE under i.i.d. item arrivals | Online Fisher markets · Underlying static market | time-averaged expenditures: O((\log t)^2/t) | Helped |
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