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normalized maximum likelihood

8 papers

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Also known as

NML

Co-occurring keywords · papers mentioning both

logarithmic loss (2) jeffreys prior (2) dirichlet prior (2) bayesian prediction (2) minimax regret (2) sequential prediction (2) bayesian inference (2) sequential probability assignment (1) contextual shtarkov sum (1) offline optimization (1)

Papers

Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood NeurIPS 2024 MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning ICML 2021 Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation ICLR 2021 Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets ALT 2018 Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures AISTATS 2018 Achievability of Asymptotic Minimax Regret by Horizon-Dependent and Horizon-Independent Strategies JMLR 2015 Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior AISTATS 2012 The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators COLT 2012