Sciweavers

AAAI
2006
13 years 6 months ago
Monte Carlo Go Has a Way to Go
Monte Carlo Go is a promising method to improve the performance of computer Go programs. This approach determines the next move to play based on many Monte Carlo samples. This pap...
Haruhiro Yoshimoto, Kazuki Yoshizoe, Tomoyuki Kane...
NIPS
2008
13 years 6 months ago
Evaluating probabilities under high-dimensional latent variable models
We present a simple new Monte Carlo algorithm for evaluating probabilities of observations in complex latent variable models, such as Deep Belief Networks. While the method is bas...
Iain Murray, Ruslan Salakhutdinov
DAC
2005
ACM
13 years 6 months ago
Power grid simulation via efficient sampling-based sensitivity analysis and hierarchical symbolic relaxation
On-chip supply networks are playing an increasingly important role for modern nanometer-scale designs. However, the ever growing sizes of power grids make the analysis problem ext...
Peng Li
CIG
2005
IEEE
13 years 6 months ago
Monte Carlo Planning in RTS Games
Abstract- Monte Carlo simulations have been successfully used in classic turn–based games such as backgammon, bridge, poker, and Scrabble. In this paper, we apply the ideas to th...
Michael Chung, Michael Buro, Jonathan Schaeffer
WSC
2007
13 years 6 months ago
Monte Carlo methods in the physical sciences
I will review the role that Monte Carlo methods play in the physical sciences. They are very widely used for a number of reasons: they permit the rapid and faithful transformation...
Malvin H. Kalos
WSC
2008
13 years 6 months ago
Efficient tail estimation for sums of correlated lognormals
Our focus is on efficient estimation of tail probabilities of sums of correlated lognormals. This problem is motivated by the tail analysis of portfolios of assets driven by corre...
Jose Blanchet, Sandeep Juneja, Leonardo Rojas-Nand...
WSC
2007
13 years 6 months ago
Efficient suboptimal rare-event simulation
Much of the rare-event simulation literature is concerned with the development of asymptotically optimal algorithms. Because of the difficulties associated with applying these id...
Xiaowei Zhang, Jose Blanchet, Peter W. Glynn
WSC
2008
13 years 6 months ago
Monte Carlo and discrete-event simulations in C and R
The Monte Carlo and discrete-event simulation code associated with the Simulation 101 pre-conference workshop (offered at the 2006, 2007, and 2008 Winter Simulation Conferences) i...
Barry Lawson, Lawrence Mark Leemis
WSC
2007
13 years 6 months ago
Approximations and control variates for pricing portfolio credit derivatives
Portfolio credit derivatives that depend on default correlation are increasingly widespread in the credit market. Valuing such products often entails Monte Carlo simulation. Howev...
Zhiyong Chen, Paul Glasserman
SIGGRAPH
1995
ACM
13 years 8 months ago
Optimally combining sampling techniques for Monte Carlo rendering
Monte Carlo integration is a powerful technique for the evaluation of difficult integrals. Applications in rendering include distribution ray tracing, Monte Carlo path tracing, a...
Eric Veach, Leonidas J. Guibas