Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits Yasin Abbasi-Yadkori Dept. of Computing Science University of Alberta

Source URL: webdocs.cs.ualberta.ca

• Econometrics
• Machine learning
• Statistical theory
• Probability distributions
• Online machine learning
• Loss function
• Big O notation
• Sample complexity
• Confidence interval
• Normal distribution
• Matrix
• Algorithm

R EFLECTIONS O N THE C OMMENTS ABOUT O UR N ON N AÏVE P RECAUTIONARY P RINCIPLE To repeat, the gist of our paper is decision-making under opacity, fat tails, asymmetries, and systemic effects – in other words, the Fou

Source URL: www.fooledbyrandomness.com

• Statistics
• Academia
• Actuarial science
• Financial risk
• Probability distributions
• Normal distribution
• Value at risk
• Expected value
• Karl Popper
• Risk
• Errors and residuals
• Statistical hypothesis testing

Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling Peter Hooper Yasin Abbasi-Yadkori, Russ Greiner, Bret Hoehn Dept of Mathematical & Statistical Sciences

Source URL: webdocs.cs.ualberta.ca

• Probability distributions
• Estimation theory
• Econometrics
• Statistical theory
• Summary statistics
• Normal distribution
• Bayesian network
• Beta distribution
• Mode
• Linear regression
• Delta method
• Gamma distribution

Hierarchical Dirichlet Scaling Process Dongwoo Kim KAIST, Daejeon, Korea DW. KIM @ KAIST. AC . KR

Source URL: jmlr.org

• Statistics
• Probability
• Statistical theory
• Statistical natural language processing
• Probability distributions
• Stochastic processes
• Latent Dirichlet allocation
• Hierarchical Dirichlet process
• Topic model
• Dirichlet process
• Dirichlet distribution
• Mixture model

PATTERN RECOGNITION AND MACHINE LEARNING CHAPTER 2: PROBABILITY DISTRIBUTIONS Parametric Distributions Basic building blocks:

Source URL: research.microsoft.com

ORIGINAL RESEARCH published: 15 September 2015 doi: fpsygObserved effects of “distributional learning” may not relate to the

Source URL: www.fon.hum.uva.nl

• Summary statistics
• Probability distributions
• Multimodal distribution
• Unimodality
• Mode
• Skewness
• Shape of a probability distribution
• Central tendency
• Formant
• Speech perception

Inference of functional clustering patterns from non-functional data Long Nguyen Department of Statistics University of Michigan

Source URL: dept.stat.lsa.umich.edu

• Statistics
• Statistical theory
• Probability
• Probability distributions
• Stochastic processes
• Dirichlet process
• Bayesian statistics
• Markov chain Monte Carlo
• Mixture distribution
• Statistical inference
• Concentration parameter
• Mixture model

Estimating Continuous Distributions by Quantifying Errors in Probability Judgments Asa B. Palley, Saurabh Bansal Duke University, The Fuqua School of Business, Pennsylvania State University, Smeal College of Business Abs

Source URL: www.sjdm.org

Convergence of latent mixing measures in finite and infinite mixture models Long Nguyen Department of Statistics University of Michigan

Source URL: dept.stat.lsa.umich.edu

• Statistics
• Probability
• Estimation theory
• Stochastic processes
• Statistical models
• Probability distributions
• Cluster analysis
• Mixture model
• Dirichlet process
• Mixture distribution
• Identifiability

Learning from Corrupted Binary Labels via Class-Probability Estimation Aditya Krishna Menon∗ ADITYA . MENON @ NICTA . COM . AU Brendan van Rooyen† BRENDAN . VANROOYEN @ NICTA . COM . AU

Source URL: jmlr.org

• Statistics
• Estimation theory
• Expectationmaximization algorithm
• Missing data
• Mathematical analysis
• Mathematics
• Probability distributions