101![Randomized Algorithms 2013A Lecture 12 – Nearest Neighbor Searching (NNS) in High Dimension∗ Robert Krauthgamer Let’s briefly recall our discussion of sketching algorithms. What is Sketching: We have some input x, Randomized Algorithms 2013A Lecture 12 – Nearest Neighbor Searching (NNS) in High Dimension∗ Robert Krauthgamer Let’s briefly recall our discussion of sketching algorithms. What is Sketching: We have some input x,](https://www.pdfsearch.io/img/d22313015541f48cd3320f4c589205ba.jpg) | Add to Reading ListSource URL: www.wisdom.weizmann.ac.ilLanguage: English - Date: 2013-01-28 13:36:00
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102![Randomized Algorithms 2013A Lecture 5 – Martingales, Closest Pairs, Hash Tables, Existential Proofs and Codes ∗ Moni Naor The lecture covered quite varied material, starting from Martingales, moving to a linear time Randomized Algorithms 2013A Lecture 5 – Martingales, Closest Pairs, Hash Tables, Existential Proofs and Codes ∗ Moni Naor The lecture covered quite varied material, starting from Martingales, moving to a linear time](https://www.pdfsearch.io/img/704fa11d59f1e5228b6e3b9e2088bfcb.jpg) | Add to Reading ListSource URL: www.wisdom.weizmann.ac.ilLanguage: English - Date: 2012-12-06 01:55:15
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103![Chapter 13 Randomized Algorithms Part 1 Slides by Kevin Wayne, modified by Rasmus Pagh. Chapter 13 Randomized Algorithms Part 1 Slides by Kevin Wayne, modified by Rasmus Pagh.](https://www.pdfsearch.io/img/525d6cd222b977679b131458221a2a42.jpg) | Add to Reading ListSource URL: itu.dkLanguage: English - Date: 2012-11-07 03:30:04
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104![CPS296.2 Geometric Optimization January 23, 2007 Lecture 4: Randomized Algorithms for Linear Programming Lecturer: Pankaj K. Agarwal CPS296.2 Geometric Optimization January 23, 2007 Lecture 4: Randomized Algorithms for Linear Programming Lecturer: Pankaj K. Agarwal](https://www.pdfsearch.io/img/c1d648bba2c16c56981eb874d72a3f3c.jpg) | Add to Reading ListSource URL: www.cs.duke.eduLanguage: English - Date: 2007-02-08 16:45:59
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105![Randomized Algorithms 2014/5A Lecture 1 – Min Cut Algorithm, Closest Pairs, (Multi)-Set Equality ∗ Moni Naor The lecture introduced randomized algorithms. Why are they interesting? They may solve problems faster than Randomized Algorithms 2014/5A Lecture 1 – Min Cut Algorithm, Closest Pairs, (Multi)-Set Equality ∗ Moni Naor The lecture introduced randomized algorithms. Why are they interesting? They may solve problems faster than](https://www.pdfsearch.io/img/2f028856c46129419761828135bfb570.jpg) | Add to Reading ListSource URL: www.wisdom.weizmann.ac.ilLanguage: English - Date: 2014-11-18 07:31:28
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106![Randomized Algorithms 2013A Lecture 1 – Introduction and Concentration Bounds∗ Robert Krauthgamer 1 Randomized Algorithms 2013A Lecture 1 – Introduction and Concentration Bounds∗ Robert Krauthgamer 1](https://www.pdfsearch.io/img/bb6dde1612439c0cb8a3f270f8a039f3.jpg) | Add to Reading ListSource URL: www.wisdom.weizmann.ac.ilLanguage: English - Date: 2012-11-12 17:25:24
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107![Randomized Algorithms 2015A Lecture 9 – Dimension Reduction in ℓ2, Sketching, and NNS in ℓ1∗ Robert Krauthgamer 1 Randomized Algorithms 2015A Lecture 9 – Dimension Reduction in ℓ2, Sketching, and NNS in ℓ1∗ Robert Krauthgamer 1](https://www.pdfsearch.io/img/5162678260afb011f8866c126f1412ee.jpg) | Add to Reading ListSource URL: www.wisdom.weizmann.ac.ilLanguage: English - Date: 2014-12-31 19:10:51
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108![Randomized Algorithms 2015A – Problem Set 3 Robert Krauthgamer and Moni Naor Due: January 18, 2015 ∑ 1. Show that the hash function hr : {0, 1}n → {0, 1} mapping x 7→ ni=1 xi ri (mod 2), where ⃗r ∈ {0, 1}n is Randomized Algorithms 2015A – Problem Set 3 Robert Krauthgamer and Moni Naor Due: January 18, 2015 ∑ 1. Show that the hash function hr : {0, 1}n → {0, 1} mapping x 7→ ni=1 xi ri (mod 2), where ⃗r ∈ {0, 1}n is](https://www.pdfsearch.io/img/678e24a61de9dedee551aa1595bfa0a6.jpg) | Add to Reading ListSource URL: www.wisdom.weizmann.ac.ilLanguage: English - Date: 2014-12-31 19:10:51
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109![Randomized Algorithms for Low-Rank Matrix Factorizations: Sharp Performance Bounds Rafi Witten∗ and Emmanuel Cand`es† August 2013; Revised AprilAbstract Randomized Algorithms for Low-Rank Matrix Factorizations: Sharp Performance Bounds Rafi Witten∗ and Emmanuel Cand`es† August 2013; Revised AprilAbstract](https://www.pdfsearch.io/img/56ed486bc7f3fd016820db2ac54666d6.jpg) | Add to Reading ListSource URL: statweb.stanford.eduLanguage: English - Date: 2014-04-18 01:52:44
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110![Alea: a library for reasoning on randomized algorithms in Coq Version 7 Christine Paulin-Mohring with contributions by David Baelde and Pierre Courtieu PROVAL Team Alea: a library for reasoning on randomized algorithms in Coq Version 7 Christine Paulin-Mohring with contributions by David Baelde and Pierre Courtieu PROVAL Team](https://www.pdfsearch.io/img/a382ae62b6d9230dc3407a2f92b803a2.jpg) | Add to Reading ListSource URL: www.lri.frLanguage: English - Date: 2012-02-12 09:04:39
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