PPT-Playing Games for Security: An Efficient Exact Algorithm for Solving Bayesian Stackelberg

Author : natalia-silvester | Published Date : 2018-09-22

Praveen Paruchuri Jonathan P Pearce Sarit Kraus Catherine Ying Liu School of Computer Science University of Waterloo Outline Introduction Problem Definition DOBSS

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Playing Games for Security: An Efficient..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Playing Games for Security: An Efficient Exact Algorithm for Solving Bayesian Stackelberg: Transcript


Praveen Paruchuri Jonathan P Pearce Sarit Kraus Catherine Ying Liu School of Computer Science University of Waterloo Outline Introduction Problem Definition DOBSS Approach MixedInteger Quadratic Program. jain jpita tambe fordon uscedu Intelligent Automation Inc Rockville MD USA pparuchuriiaicom BarIlan University Israel saritmacsbiuacil Many multiagent settings are appropriately modeled as Stackelberg games Fudenberg and Tirole 1991 Paruchuri et al . Rebecca R. Gray, Ph.D.. Department of Pathology. University of Florida. BEAST:. is a cross-platform program for Bayesian MCMC analysis of molecular sequences. entirely orientated towards rooted, time-measured phylogenies inferred using strict or relaxed molecular clock models. Bayesian Network Motivation. We want a representation and reasoning system that is based on conditional . independence. Compact yet expressive representation. Efficient reasoning procedures. Bayesian Networks are such a representation. Read R&N Ch. 14.1-14.2. Next lecture: Read R&N 18.1-18.4. You will be expected to know. Basic concepts and vocabulary of Bayesian networks.. Nodes represent random variables.. Directed arcs represent (informally) direct influences.. Author: David Heckerman. . Presented By:. Yan Zhang - 2006. Jeremy Gould – 2013. 1. Outline. Bayesian Approach. Bayesian vs. classical probability methods. Examples. Bayesian Network. Structure. Department of Electrical and Computer Engineering. Zhu Han. Department. of Electrical and Computer Engineering. University of Houston.. Thanks to Nam Nguyen. , . Guanbo. . Zheng. , and Dr. . Rong. . Jason Hartline. Northwestern University. Brendan Lucier. University of Toronto. A central authority wishes to provide service to a group of rational agents.. Each agent has a . private. value for service. . or. How to combine data, evidence, opinion and guesstimates to make decisions. Information Technology. Professor Ann Nicholson. Faculty of Information Technology. Monash University . (Melbourne, Australia). (BO). Javad. . Azimi. Fall 2010. http://web.engr.oregonstate.edu/~azimi/. Outline. Formal Definition. Application. Bayesian Optimization Steps. Surrogate Function(Gaussian Process). Acquisition Function. Byron Smith. December 11, 2013. What is Quantum State Tomography?. What is Bayesian Statistics?. Conditional Probabilities. Bayes. ’ Rule. Frequentist. vs. Bayesian. Example: . Schrodinger’s Cat. Using Stata. Chuck . Huber. StataCorp. chuber@stata.com. 2017 Canadian Stata Users Group Meeting. Bank of Canada, Ottawa. June 9, 2017. Introduction to . the . bayes. Prefix. in Stata 15. Chuck . Huber. Inference implemented on . FPGA. with . Stochastic . Bitstreams. for an Autonomous Robot . Jorge Lobo. jlobo@isr.uc.pt. Bayesian Inference implemented on FPGA. with Stochastic . Bitstreams. for an Autonomous Robot . GSolving the LPMWU ApproachEach iteration requires solving a global mincutOur ApproachEach iteration requires solving a global mincutproblem randomized Om log3 n algKarger00Om log m/ iterationsTwo ide The big picture. . During this unit of work . you will be . investigating . the benefits and negatives of playing computer games.. You will be working towards completing . one . main . piece . of work:.

Download Document

Here is the link to download the presentation.
"Playing Games for Security: An Efficient Exact Algorithm for Solving Bayesian Stackelberg"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Documents