41![A Simple Sequential Algorithm for Approximating Bayesian Inference Elizabeth Bonawitz, Stephanie Denison, Annie Chen, Alison Gopnik, & Thomas L. Griffiths {liz b, smdeniso, c annie, gopnik, tom griffiths}@berkeley.edu De A Simple Sequential Algorithm for Approximating Bayesian Inference Elizabeth Bonawitz, Stephanie Denison, Annie Chen, Alison Gopnik, & Thomas L. Griffiths {liz b, smdeniso, c annie, gopnik, tom griffiths}@berkeley.edu De](https://www.pdfsearch.io/img/a10c4d2547f88dc77c23095f08b1bcb3.jpg) | Add to Reading ListSource URL: ccdlab.rutgers.eduLanguage: English - Date: 2015-03-24 11:58:24
|
---|
42![A Simple and Practical Algorithm for Differentially Private Data Release Moritz Hardt IBM Almaden Research San Jose, CA A Simple and Practical Algorithm for Differentially Private Data Release Moritz Hardt IBM Almaden Research San Jose, CA](https://www.pdfsearch.io/img/c1121974e63ec3cc7db7087ea1c9b8a9.jpg) | Add to Reading ListSource URL: users.cms.caltech.eduLanguage: English - Date: 2013-03-07 15:44:13
|
---|
43![Estimating Learning Rates in Evolution and TDL: Results on a Simple Grid-World Problem Simon M. Lucas Abstract— When learning to play a game or perform some task, it is important to learn as quickly and effectively as Estimating Learning Rates in Evolution and TDL: Results on a Simple Grid-World Problem Simon M. Lucas Abstract— When learning to play a game or perform some task, it is important to learn as quickly and effectively as](https://www.pdfsearch.io/img/2176316aeedf6a49fd79168966e5d3be.jpg) | Add to Reading ListSource URL: game.itu.dkLanguage: English - Date: 2010-08-10 12:41:00
|
---|
44![Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits Alekh Agarwal Microsoft Research, New York, NY ALEKHA @ MICROSOFT. COM Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits Alekh Agarwal Microsoft Research, New York, NY ALEKHA @ MICROSOFT. COM](https://www.pdfsearch.io/img/370c5935179f39846b3c77ca00c4f168.jpg) | Add to Reading ListSource URL: homepages.math.uic.eduLanguage: English - Date: 2014-11-13 18:00:15
|
---|
45![Simple Motivating Example Likelihood and the Missing Data Problem The EM Algorithm and Amelia An Example in Amelia Section 12: Missing Data1 April 19, 2012 Simple Motivating Example Likelihood and the Missing Data Problem The EM Algorithm and Amelia An Example in Amelia Section 12: Missing Data1 April 19, 2012](https://www.pdfsearch.io/img/13c2c66247c1725b47eac31506317ace.jpg) | Add to Reading ListSource URL: www.jenpan.comLanguage: English - Date: 2014-08-21 09:24:11
|
---|
46![Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits arXiv:1402.0555v1 [cs.LG] 4 FebAlekh Agarwal1 , Daniel Hsu2 , Satyen Kale3 , John Langford1 , Lihong Li1 , and Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits arXiv:1402.0555v1 [cs.LG] 4 FebAlekh Agarwal1 , Daniel Hsu2 , Satyen Kale3 , John Langford1 , Lihong Li1 , and](https://www.pdfsearch.io/img/520efa86b3797cec88332140c47419cc.jpg) | Add to Reading ListSource URL: arxiv.orgLanguage: English - Date: 2014-02-04 20:32:18
|
---|
47![SOS Lecture 6: The SOS approach to refuting the UGC / Boaz Barak Morally speaking, the Unique Games Conjecture (UGC) asserts that a simple algorithm— namely the degree 2 SOS program— is the optimal efficient algorith SOS Lecture 6: The SOS approach to refuting the UGC / Boaz Barak Morally speaking, the Unique Games Conjecture (UGC) asserts that a simple algorithm— namely the degree 2 SOS program— is the optimal efficient algorith](https://www.pdfsearch.io/img/1002e743133e9b2d2a839407a5e5e1d6.jpg) | Add to Reading ListSource URL: www.boazbarak.orgLanguage: English - Date: 2014-11-30 09:09:15
|
---|
48![A Simple Polynomial-Time Randomized Distributed Algorithm for Connected Row Convex Constraints T. K. Satish Kumar?† , Duc Thien Nguyen‡ , William Yeoh†† , and Sven Koenig† † Department of Computer Science A Simple Polynomial-Time Randomized Distributed Algorithm for Connected Row Convex Constraints T. K. Satish Kumar?† , Duc Thien Nguyen‡ , William Yeoh†† , and Sven Koenig† † Department of Computer Science](https://www.pdfsearch.io/img/637cd6401866ed75321206d200ca2946.jpg) | Add to Reading ListSource URL: www.cs.nmsu.eduLanguage: English - Date: 2014-05-15 11:20:33
|
---|
49![A simple pattern-matching algorithm for recovering empty nodes and their antecedents∗ Mark Johnson Brown Laboratory for Linguistic Information Processing Brown University Mark A simple pattern-matching algorithm for recovering empty nodes and their antecedents∗ Mark Johnson Brown Laboratory for Linguistic Information Processing Brown University Mark](https://www.pdfsearch.io/img/48e546a0988b1f6bfba8798ad045d5a6.jpg) | Add to Reading ListSource URL: web.science.mq.edu.auLanguage: English - Date: 2010-09-12 19:58:31
|
---|
50![Paxos Made Simple Leslie Lamport 01 Nov 2001
Abstract The Paxos algorithm, when presented in plain English, is very simple. Paxos Made Simple Leslie Lamport 01 Nov 2001
Abstract The Paxos algorithm, when presented in plain English, is very simple.](https://www.pdfsearch.io/img/e91de7a5aaf4ed0bb86aec7e1b5040b3.jpg) | Add to Reading ListSource URL: www.news.cs.nyu.eduLanguage: English - Date: 2007-10-30 12:22:08
|
---|