ELEVEN - Tests needed for a Recommendation (original) (raw)

Minimax regret in practice—Four examples on treatment choice

Javier Marcos Rivas

Unpublished Manuscript, European …, 2006

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Minimax Regret in Practice - Four Examples on Treatment Choice1

Karl Schlag

2000

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Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling

Sofia Villar

ArXiv, 2021

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Interactive regret minimization

kazuhisa makino

Proceedings of the 2012 international conference on Management of Data - SIGMOD '12, 2012

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Possibilistic preference elicitation by minimax regret

Loïc Adam

2021

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On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies

Hengrui Cai

2020

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Treatment Choice with Bandit ∗ Preliminary Draft

János Divényi

2018

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Testing for feedback-conditional regret effects using a natural lottery

Chris Starmer

Discussion Papers, 2005

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Optimal Policy for Bernoulli Bandits: Computation and Algorithm Gauge

Daniel Varro

IEEE Transactions on Artificial Intelligence, 2021

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Regret testing: A simple payoff-based procedure for learning Nash equilibrium

peyton young

2006

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A normative inference approach for optimal sample sizes in decisions from experience

Ralph Hertwig

Frontiers in Psychology, 2015

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Comparison of Decisions under Unknown Experiments

Andrew Caplin

Journal of Political Economy, 2021

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Explore First, Exploit Next: The True Shape of Regret in Bandit Problems

Aurélien Garivier

Mathematics of Operations Research

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An Empirical Assault on the Predict Ability of Sequential Binary Choices

Karl Scheibe

The Psychological Record, 1979

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Minimax regret estimation in linear models

Arkadi Nemirovski

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004

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Regret Bound Balancing and Elimination for Model Selection in Bandits and RL

Claudio Gentile

2020

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Regret Testing: Learning to Play Nash Equilibrium Without Knowing You Have an Opponent

peyton young

Theoretical Economics, 2006

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Incremental utility elicitation with the minimax regret decision criterion

Craig Boutilier

2003

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A direct test of the original version of regret theory

John Hey

Journal of Behavioral Decision Making, 1988

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Structural Estimation of Past and Future Regret Preferences in an Optimal Stopping Experiment

Giorgio Coricelli

SSRN Electronic Journal, 2017

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Mini-max Regret Criterion in Patient Therapeutic Healthcare Delivery

AJBSR Journal

Asian Journal of Basic Science & Research , 2023

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Empirical game-theoretic methods to minimize regret against specific opponents

son dien chau tran

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, 2021

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Generalized Sampling and Variance in Counterfactual Regret Minimization

Duane Szafron

2012

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A regret theory approach to decision curve analysis: A novel method for eliciting decision makers' preferences and decision-making

Iztok Hozo

BMC Medical Informatics and Decision Making, 2010

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Bandit Strategies Evaluated in the Context of Clinical Trials in Rare Life-Threatening Diseases

Sofia Villar

Probability in the Engineering and Informational Sciences, 2017

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Optimal Decision Stimuli for Risky Choice Experiments: An Adaptive Approach

Richard Gonzalez

Management Science, 2013

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Experimental economics and small decision-making problems

Takemi Fujikawa

2006

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Efficient Real-world Testing of Causal Decision Making via Bayesian Experimental Design for Contextual Optimisation

Desi Ivanova

arXiv (Cornell University), 2022

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Decisions from experience: Why small samples?

Ralph Hertwig

Cognition, 2010

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Computational Decision Support: Regret-based Models for Optimization and Preference Elicitation

Craig Boutilier

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Preference Elicitation with Uncertainty: Extending Regret Based Methods with Belief Functions

Sebastien Destercke

Scalable Uncertainty Management, 2019

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GEAR: On optimal decision making with auxiliary data

Hengrui Cai

2021

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On the Value of Randomizing and Limiting Memory in Repeated Decision-Making under Minimal Regret

Karl Schlag

2003

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Correcting expected utility for comparisons between alternative outcomes: A unified parameterization of regret and disappointment

Carlos Ernesto Laciana

Journal of Risk and Uncertainty, 2008

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A Comparison of Criteria to Design Efficient Choice Experiments

Roselinde Kessels

Journal of Marketing Research, 2006

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