Model selection Large scale model selection Summary and open problems Model Selection and Computational Oracle Inequalities for Large Scale Problems

Source URL: mmds-data.org

• Statistics
• Econometrics
• Statistical theory
• Estimation theory
• Linear regression
• Regression analysis
• Feature selection
• Model selection
• Support vector machine
• Oracle Database
• Loss function
• Natural selection

Optimal Control under a Dynamic Fuel Constraint By Peter Bank∗ First draft: September, 2003 This version: September 1, 2004

Source URL: page.math.tu-berlin.de

• Statistical theory
• Greek letters
• Theta
• Loss function
• Completeness
• Science
• Information

Utility-based Regression Luis Torgo1,2 and Rita Ribeiro1,3 1 LIAAD-INESC Porto LA, R. Ceuta, 118, 6., Porto, Portugal FEP, University of Porto, R. Dr. Roberto Frias, Porto, Portugal

Source URL: www.dcc.fc.up.pt

• Statistics
• Econometrics
• Regression analysis
• Statistical classification
• Actuarial science
• Support vector machine
• Loss function
• Economic model
• Prediction
• Normal distribution
• Forecasting
• Artificial neural network

A Payment Rules through Discriminant-Based Classifiers ¨ PAUL DUTTING , Stanford University, USA FELIX FISCHER, University of Cambridge, UK

Source URL: paulduetting.com

• Mechanism design
• Game theory
• Loss function
• Strategyproofness
• Monotonicity
• Incentive compatibility
• Revelation principle

Utility-based Performance Measures for Regression Rita Ribeiro LIAAD - INESC PORTO LA, R. Ceuta, 118, 6., Porto, Portugal FCUP - DCC, University of Porto, R. Campo Alegre, , 4169-

Source URL: www.dcc.fc.up.pt

• Econometrics
• Regression analysis
• Loss function
• Prediction
• Economic model
• Forecasting
• Linear regression

Semi-Supervised Learning with Adversarially Missing Label Information Umar Syed Ben Taskar Department of Computer and Information Science

Source URL: www.seas.upenn.edu

• Machine learning
• Manifold regularization
• Semi-supervised learning
• Supervised learning
• Stability
• Pattern recognition
• Support vector machine
• Linear classifier
• Multiple instance learning
• Loss function
• Statistical learning theory
• Generalization error

Paper of the month, February 2015 De novo loss- or gain-of-function mutations in KCNA2 cause epileptic encephalopathy Syrbe S, Hedrich UB, Riesch E, Djémié T, Müller S, Møller RS, Maher B, Hernandez-Hernandez L, Syno

Source URL: www.research4rare.de

Trust Region Policy Optimization arXiv:1502.05477v4 [cs.LG] 6 Jun 2016 John Schulman JOSCHU @ EECS . BERKELEY. EDU

Source URL: arxiv.org

• Markov models
• Mathematical optimization
• Operations research
• Reinforcement learning
• Expectationmaximization algorithm
• Sine
• Proximal gradient method
• Gradient method
• Markov chain
• Loss function
• Artificial neural network
• Equation solving

Scientific Committee on Emerging and Newly Identified Health Risks SCENIHR Potential health risks of exposure to noise from personal music players and mobile phones including a music playing function

Source URL: schallundlaser.ch

• Noise pollution
• Audiology
• Hearing loss
• Noise
• Occupational safety and health
• Noise-induced hearing loss
• Health effects from noise
• Industrial noise
• Tinnitus
• A-weighting
• Scientific Committee on Emerging and Newly Identified Health Risks
• Audiometry

Large-margin Structured Learning for Link Ranking Stephen H. Bach Bert Huang Lise Getoor Department of Computer Science University of Maryland College Park, MD 20742

Source URL: psl.umiacs.umd.edu

• Regression analysis
• Structured prediction
• Support vector machines
• Statistical classification
• Machine learning
• Ordinal regression
• Loss function
• Mathematical optimization
• Hinge loss
• Loss functions for classification