Making better use of the crowd: How crowdsourcing can advance machine learning research
JW Vaughan - Journal of Machine Learning Research, 2018 - jmlr.org
This survey provides a comprehensive overview of the landscape of crowdsourcing
research, targeted at the machine learning community. We begin with an overview of the …
research, targeted at the machine learning community. We begin with an overview of the …
An overview of applications of proper scoring rules
A Carvalho - Decision Analysis, 2016 - pubsonline.informs.org
We present a study on the evolution of publications about applications of proper scoring
rules. Specifically, we consider articles reporting the use of proper scoring rules when either …
rules. Specifically, we consider articles reporting the use of proper scoring rules when either …
Truthful incentives in crowdsourcing tasks using regret minimization mechanisms
What price should be offered to a worker for a task in an online labor market? How can one
enable workers to express the amount they desire to receive for the task completion …
enable workers to express the amount they desire to receive for the task completion …
Finding the right curve: Optimal design of constant function market makers
Constant Function Market Makers (CFMMs) are a tool for creating exchange markets, have
been deployed effectively in prediction markets, and are now especially prominent in the …
been deployed effectively in prediction markets, and are now especially prominent in the …
An axiomatic characterization of cfmms and equivalence to prediction markets
Constant-function market makers (CFMMs), such as Uniswap, are automated exchanges
offering trades among a set of assets. We study their technical relationship to another class …
offering trades among a set of assets. We study their technical relationship to another class …
A practical liquidity-sensitive automated market maker
Automated market makers are algorithmic agents that enable participation and information
elicitation in electronic markets. They have been widely and successfully applied in artificial …
elicitation in electronic markets. They have been widely and successfully applied in artificial …
Efficient market making via convex optimization, and a connection to online learning
We propose a general framework for the design of securities markets over combinatorial or
infinite state or outcome spaces. The framework enables the design of computationally …
infinite state or outcome spaces. The framework enables the design of computationally …
Composing networks of automated market makers
Automated market makers (AMMs) are automata that trade electronic assets at rates set by
mathematical formulas. AMMs are usually implemented by smart contracts on blockchains …
mathematical formulas. AMMs are usually implemented by smart contracts on blockchains …
No-regret dynamics and fictitious play
Y Viossat, A Zapechelnyuk - Journal of Economic Theory, 2013 - Elsevier
Potential based no-regret dynamics are shown to be related to fictitious play. Roughly, these
are ε-best reply dynamics where ε is the maximal regret, which vanishes with time. This …
are ε-best reply dynamics where ε is the maximal regret, which vanishes with time. This …
Designing markets for prediction
AI Magazine Page 1 Articles 42 AI MAGAZINE Mechanism design has been described as “inverse
game theory.” Whereas game theorists ask what outcome results from a game, mechanism …
game theory.” Whereas game theorists ask what outcome results from a game, mechanism …