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Importance sampling
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#	Item
1	Sequentialized Sampling Importance Resampling and Scalable IWAE Chin-Wei Huang† Aaron Courville†k Montreal Institute for Learning Algorithms (MILA) k CIFAR Fellow Add to Reading List Source URL: bayesiandeeplearning.org Language: English - Date: 2017-12-05 15:01:35
2	Importance Sampling for Fair Policy Selection Shayan Doroudi Computer Science Department Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2017-07-26 18:21:31
3	Stochastic Optimization with Importance Sampling for Regularized Loss Minimization Peilin Zhao†,‡ ZHAOP @ I 2 R . A - STAR . EDU . SG Tong Zhang‡ TZHANG @ STAT. RUTGERS . EDU Add to Reading List Source URL: proceedings.mlr.press Language: English - Date: 2017-05-06 17:27:05
4	Cross-domain answer ranking using importance sampling Anders Johannsen Anders Søgaard University of Copenhagen {ajohannsen,soegaard}@hum.ku.dk Abstract Add to Reading List Source URL: www.aclweb.org - Date: 2013-10-09 21:27:58
5	Network Analysis and Modeling, CSCI 5352 LectureProf. Aaron Clauset Add to Reading List Source URL: tuvalu.santafe.edu Language: English - Date: 2013-11-23 11:09:20 Statistics Statistical theory Monte Carlo methods Markov chain Monte Carlo Markov models Stochastic simulation Estimation theory MetropolisHastings algorithm Gibbs sampling Markov chain Maximum likelihood estimation Importance sampling
6	Importance of Client Data and Correct Sampling Procedures An important factor in solving your water problem is the relationship between the water quality of your sample and typical qualities for that type of water. Add to Reading List Source URL: www.sws.uiuc.edu Language: English - Date: 2015-10-28 16:23:28 Water management Water Environmental science Water quality Sampling PSL Natural environment Earth Biology
7	Analysis of an Importance Sampling Estimator for Tandem Queues PAUL GLASSERMAN Add to Reading List Source URL: www.rmi.nus.edu.sg Language: English - Date: 2003-11-03 16:13:30 Statistics Statistical theory Estimation theory Statistical inference Importance sampling Variance reduction Bias of an estimator Efficient estimator Estimator Efficiency Standard deviation Asymptotic analysis
8	Sampling for Approximate Inference in Continuous Time Bayesian Networks Yu Fan Christian R. Shelton Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:42 Monte Carlo methods Stochastic simulation Estimation theory Robot control Markov models Importance sampling Particle filter Probability distribution Bayesian network Exponential distribution Rejection sampling Expectationmaximization algorithm
9	Journal of Machine Learning Research2140 Submitted 3/09; Revised 6/10; Published 8/10 Importance Sampling for Continuous Time Bayesian Networks Yu Fan Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:14 Markov models Probability distributions Graphical models Monte Carlo methods Stochastic simulation Bayesian network Markov chain Importance sampling Gibbs sampling Exponential distribution Cumulative distribution function Variance
10	UNIVERSITY OF CALIFORNIA RIVERSIDE Continuous Time Bayesian Network Approximate Inference and Social Network Applications Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:15 Monte Carlo methods Stochastic simulation Computational statistics Markov models Markov chain Monte Carlo Bayesian network Gibbs sampling Particle filter Approximate inference Expectationmaximization algorithm Statistics Importance sampling

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