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Learning Competitive Equilibria in Noisy Combinatorial Markets
We present a methodology to robustly estimate the competitive equilibria...
01/23/2021 ∙ by Enrique Areyan Viqueira, et al. ∙
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Making mean-estimation more efficient using an MCMC trace variance approach: DynaMITE
The Markov-Chain Monte-Carlo (MCMC) method has been used widely in the l...
11/22/2020 ∙ by Cyrus Cousins, et al. ∙
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MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining
We present MCRapper, an algorithm for efficient computation of Monte-Car...
06/16/2020 ∙ by Leonardo Pellegrina, et al. ∙
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Learning Equilibria of Simulation-Based Games
We tackle a fundamental problem in empirical game-theoretic analysis (EG...
05/31/2019 ∙ by Enrique Areyan Viqueira, et al. ∙
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Uniform Convergence Bounds for Codec Selection
We frame the problem of selecting an optimal audio encoding scheme as a ...
12/18/2018 ∙ by Clayton Sanford, et al. ∙
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