Variational Bounds for Mixed-Data Factor Analysis Mohammad Emtiyaz Khan University of British Columbia Vancouver, BC, Canada V6T 1Z4

Source URL: emtiyaz.github.io

Variational Analysis and its Applications in Engineering Samir ADLY University of Limoges, France

Source URL: www.unilim.fr

How Modern Variational Analysis can be useful to Electrical Engineering? Samir ADLY University of Limoges, France

Source URL: www.unilim.fr

Variational Bounds for Mixed-Data Factor Analysis

Source URL: emtiyaz.github.io

Collapsed Variational Bayesian Inference of the Author-Topic Model: Application to Large-Scale Coordinate-Based Meta-Analysis Gia H. Ngo1 , Simon B. Eickhoff2 , Peter T. Fox3 , and B.T. Thomas Yeo1 1 Department of Elect

Source URL: people.csail.mit.edu

Matematický ústav AV ČR zve všechny zájemce na přednášku Variational tools in analysis of multifunctions

Source URL: www.math.cas.cz

Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Lars Buesing∗ , Jakob H. Macke∗,† , Maneesh Sahani Gatsby Computational Neuroscience Unit

Source URL: www.mackelab.org

• Statistics
• Statistical theory
• Estimation theory
• Actuarial science
• Expectationmaximization algorithm
• Missing data
• Maximum likelihood estimation
• Variational Bayesian methods
• Linear regression
• Normal distribution
• Covariance
• Regression analysis

SPECIAL SESSIONSpecial Session 22: Topological and Variational Methods for Boundary Value Problems

Source URL: www.aimsciences.org

• Calculus
• Mathematical analysis
• Mathematics
• Partial differential equations
• Calculus of variations
• Boundary value problem
• Nonlinear system
• Shooting method
• Boundary layer
• SturmLiouville theory
• Free boundary problem

Supplement for: A Bayesian model for identifying hierarchically organised states in neural population activity Patrick Putzky1,2,3 , Florian Franzen1,2,3 , Giacomo Bassetto1,3 , Jakob H. Macke1,3 1 Max Planck Institute f

Source URL: www.mackelab.org

• Mathematical analysis
• Statistics
• Probability
• Probability distributions
• Variational Bayesian methods
• Normal distribution
• Exponentials
• Special functions
• Natural logarithm of 2
• Exponential family

Technical supplement to “Consistent probabilistic outputs for protein function prediction” Guillaume Obozinski Department of Statistics UC Berkeley Berkeley, CA, USA

Source URL: eceweb.ucsd.edu

• Statistics
• Statistical classification
• Statistical theory
• Regression analysis
• Estimation theory
• Actuarial science
• Belief propagation
• Naive Bayes classifier
• Logistic regression
• Exponential family
• Variational Bayesian methods
• KullbackLeibler divergence