Recap ... Importance sampling ....

Source URL: genome.sph.umich.edu

• Statistics
• Mathematical analysis
• Probability
• Monte Carlo methods
• Probability distributions
• Stochastic simulation
• Importance sampling
• Variance reduction
• Variance
• Uniform distribution

AND/OR Importance Sampling Vibhav Gogate and Rina Dechter Department of Information and Computer Science, University of California, Irvine, CA 92697, {vgogate,dechter}@ics.uci.edu

Source URL: www.hlt.utdallas.edu

Stochastic Gradient Descent with Importance Sampling Rachel Ward UT Austin Joint work with Deanna Needell (Claremont McKenna College)

Source URL: www.ma.utexas.edu

AND/OR Importance Sampling Vibhav Gogate and Rina Dechter Department of Information and Computer Science, University of California, Irvine, CA 92697, {vgogate,dechter}@ics.uci.edu

Source URL: uai2008.cs.helsinki.fi

Importance Sampling Microfacet-Based BSDFs using the Distribution of Visible Normals Eric Heitz, Eugene D’Eon To cite this version: Eric Heitz, Eugene D’Eon. Importance Sampling Microfacet-Based BSDFs using the Distr

Source URL: hal.inria.fr

Weighted importance sampling for off-policy learning with linear function approximation A. Rupam Mahmood, Hado van Hasselt, Richard S. Sutton Reinforcement Learning and Artificial Intelligence Laboratory University of Al

Source URL: ualberta.ca

Monday, Morning MCM2001 Schedule 08::45 Registration

Source URL: mcm2001.sbg.ac.at

• Probability and statistics
• Monte Carlo integration
• Quantum Monte Carlo
• Importance sampling
• Low-discrepancy sequence
• Variance reduction
• Stochastic
• Quasi-Monte Carlo methods in finance
• Monte Carlo methods for electron transport
• Monte Carlo methods
• Mathematics
• Randomness

Van Trees, Harry L., Kristine L. Bell with Zhi Tian. Detection, Estimation, and Modulation Theory – Part I – Detection, Estimation, and Filtering Theory. Hoboken, New Jersey: John Wiley & Sons, Inc., 2013, 1151 pp. $

Source URL: www.signalprocessingsociety.org

• Electronic engineering
• Statistical inference
• Linear filters
• Robot control
• Estimation theory
• Monte Carlo methods
• Kalman filter
• Nonlinear filter
• Importance sampling
• Statistics
• Control theory
• Signal processing

Sunday – afternoon 14:0015:00-16:00 Registration – Ground floor of “De nieuwe Valk” (until 17:00) Tutorial – Room A

Source URL: mcqmc2014.cs.kuleuven.be

• Mathematics
• Numerical analysis
• Markov models
• Computational statistics
• Estimation theory
• Stochastic differential equation
• Markov chain Monte Carlo
• Importance sampling
• Stochastic optimization
• Statistics
• Monte Carlo methods
• Probability and statistics

Simulation-based Bayesian Econometrics Lectures Instructor: Herman K. van Dijk, Econometric Institute, Erasmus University Rotterdam, Econometrics Department, VU University Amsterdam and Tinbergen Institute. Web:  htt

Source URL: cmstatistics.org

• Economics
• Bayesian statistics
• Erasmus University Rotterdam
• Tinbergen Institute
• Importance sampling
• Bayesian econometrics
• Econometrics
• Desiderius Erasmus
• Statistics
• Probability and statistics
• Monte Carlo methods