Search for tag: "variance"

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53:29 Stochastic Networks Conference 2022 - Henry Lam… Stochastic Networks Conference 2022 - Henry Lam Edit	Stochastic Networks Conference 2022 - Henry Lam Edit Zoom Recording ID: 97630276119 UUID: b0bbUQGeREmWQTqzq6FRkA== Meeting Time: 2022-06-20 03:00:12pm sample variance talk problem simulation optimization size probability solution theory sampler sampling times mixture raven function approach literature question p. From E. Cornelius 2 plays
01:23:23 Lecture 10/21/21: Ensembles + Regularization Lecture 10/21/21: Ensembles + Regularization	Lecture 10/21/21: Ensembles + Regularization Zoom Recording ID: 94347618999 UUID: Hg/UOyaZTFGi+ub+trRDtw== Meeting Time: 2021-10-21T13:31:18Z tree trees prediction model variance models loss thing gradient bootstrap samples predictions dataset regularization error learners idea function training values From Madeleine Udell 79 plays
01:26:58 Lecture 10/14: Bootstrap and bias variance… Lecture 10/14: Bootstrap and bias variance tradeoff	Lecture 10/14: Bootstrap and bias variance tradeoff Zoom Recording ID: 94347618999 UUID: qgdVNfgoTIi+Z1Xj3EkLqQ== Meeting Time: 2021-10-14T13:29:44Z model dataset function distribution variance points prediction bootstrap point sample models datasets expectation sigma thing linear hm times bias epsilon From Madeleine Udell 127 plays
01:10:30 ORIE 4580 - Lecture 24 - 1210 ORIE 4580 - Lecture 24 - 1210	ORIE 4580 - Lecture 24 - 1210 simulation variance chain arrival markov simulations numbers process distribution things probability systems rate thing times person queue sort sense idea From Sid Banerjee 7 plays Content Categories Lectures Creation Date December 10, 2020 Creator 1 First Name Sid Creator 1 Last Name Banerjee Creator 1 Role Lecturer Creator 1 NetID sb2373
01:03:34 ORIE Colloquium: Stefan Wager (Stanford… ORIE Colloquium: Stefan Wager (Stanford University), March 30, 2021	ORIE Colloquium: Stefan Wager (Stanford University), March 30, 2021 “Diffusion Asymptotics for Sequential Experiment” We propose a new diffusion-asymptotic analysis for sequentially randomized experiments. Rather than taking sample size n… kind arm sampling sample distribution thompson limit reward regret thing root diffusion result point lot problem things experiments questions variance From Henry Lam 6 plays
01:09:58 Aaron Wagner CAM Colloquium Talk, February 12,… Aaron Wagner CAM Colloquium Talk, February 12, 2021	Aaron Wagner CAM Colloquium Talk, February 12, 2021 Zoom Recording ID: 95217932087 UUID: 0rKSQScvS6WjdBEMnjEy1g== Meeting Time: 2021-02-12T20:20:35Z feedback channel rate bits problem kind coding thing error dispersion probability channels threshold distribution theorem communication result variance chance length decoder From Erika Fowler-Decatur 6 plays
01:14:04 ORIE 4580 - Lecture 23 - 1208 ORIE 4580 - Lecture 23 - 1208	ORIE 4580 - Lecture 23 - 1208 confidence simulation systems simulations things variance arrival probability idea thing sense point experiments person interval intervals sort question arrivals scenario From Sid Banerjee 17 plays Content Categories Lectures Creation Date December 08, 2020 Creator 1 First Name Sid Creator 1 Last Name Banerjee Creator 1 Role Lecturer Creator 1 NetID sb2373
01:15:39 ORIE 4580 - Lecture 22 - 1203 ORIE 4580 - Lecture 22 - 1203	ORIE 4580 - Lecture 22 - 1203 simulation simulations sample problem intervals confidence thing things kind relaxation point idea sort question bias sense variance answer samples person From Sid Banerjee 17 plays Content Categories Lectures Creation Date December 03, 2020 Creator 1 First Name Sid Creator 1 Last Name Banerjee Creator 1 Role Lecturer Creator 1 NetID sb2373
56:40 11.13.20 James McInerney, Netflix 11.13.20 James McInerney, Netflix	11.13.20 James McInerney, Netflix reward rewards ips actions weights kind size action weight position variance slate model target sample question answer policies thing particles From Jordan Staiti 39 plays
51:27 11.2.20 Guy Blanc, Stanford University 11.2.20 Guy Blanc, Stanford University	11.2.20 Guy Blanc, Stanford University Zoom Recording ID: 97470844866 UUID: 3hqHxajDSomZ2NVBOUSyXg== Meeting Time: 2020-11-02T21:03:05Z tree function decision functions algorithms variable size impurity algorithm variance questions practice quantity monotone correlation log leaf guarantees progress epsilon From Jordan Staiti 88 plays
01:14:42 ORIE 4580 - Lecture 15 - 1022 ORIE 4580 - Lecture 15 - 1022	ORIE 4580 - Lecture 15 - 1022 variance distribution function sense times problem sampling thing point estimator simulation phi kind x. uniform things path minus sample idea From Sid Banerjee 14 plays Content Categories Lectures Creation Date October 22, 2020 Creator 1 First Name Sid Creator 1 Last Name Banerjee Creator 1 Role Lecturer Creator 1 NetID sb2373
03:13 Lesson 20.4 Classes Specifications Lesson 20.4 Classes Specifications	Lesson 20.4 Classes Specifications Classes are something we can define. That means we need a specification to tell us what it means for a definition to be correct. In this video we cover the basics of a class specification, and show… class function attributes specification summary definition invariant boss attribute worker object specifications string invariance definitions preconditions variance conditions pre parameters From Hannah Lee 73 plays Content Categories Instructional Recordings Creation Date October 27, 2020 Creator 1 First Name Walker Creator 1 Last Name White Creator 1 Role Faculty or Staff Member Creator 1 NetID wmw2 Language English Searchable Yes Searchable On Cornell Web Search
01:21:29 ORIE 4580 - Lecture 14 - 1020 ORIE 4580 - Lecture 14 - 1020	ORIE 4580 - Lecture 14 - 1020 variance minus times circle estimator summation sense thing function points covariance box point expectation uniform formula fact square simulation reduction From Sid Banerjee 73 plays Content Categories Lectures Creation Date October 20, 2020 Creator 1 First Name Sid Creator 1 Last Name Banerjee Creator 1 Role Lecturer Creator 1 NetID sb2373
01:09:35 ORIE 4580 - Lecture 9 - 1001 ORIE 4580 - Lecture 9 - 1001	ORIE 4580 - Lecture 9 - 1001 sigma thing correlation covariance variables matrix variance axis times transpose sense root variable circle things gaussian mu vector idea numbers From Sid Banerjee 76 plays Content Categories Lectures Creation Date October 01, 2020 Creator 1 First Name Sid Creator 1 Last Name Banerjee Creator 1 Role Lecturer Creator 1 NetID sb2373
01:08:35 ORIE 4580 - Lecture 8 - 0929 ORIE 4580 - Lecture 8 - 0929	ORIE 4580 - Lecture 8 - 0929 sigma acceptance rejection variables gaussian covariance probability thing times correlation samples numbers points uniform curve variance sense variable transpose point From Sid Banerjee 76 plays Content Categories Lectures Creation Date September 29, 2020 Creator 1 First Name Sid Creator 1 Last Name Banerjee Creator 1 Role Lecturer Creator 1 NetID sb2373
01:15:55 ORIE 4580 - Lecture 5 - 0917 ORIE 4580 - Lecture 5 - 0917	ORIE 4580 - Lecture 5 - 0917 confidence interval probability experiment thing intervals function things sense question distribution point simulation times answer convex variance sort questions experiments From Sid Banerjee 76 plays Content Categories Lectures Creation Date September 17, 2020 Creator 1 First Name Sid Creator 1 Last Name Banerjee Creator 1 Role Lecturer