Comments on: Statistics Declares War on Machine Learning!

By: Lies, damn lies | bluedeckshoe.com

Lies, damn lies | bluedeckshoe.com — Thu, 21 Mar 2013 20:25:42 +0000

[...] Statistics Declares War on Machine Learning! (normaldeviate.wordpress.com) [...]

By: Somewhere else, part 38 | Freakonometrics

Somewhere else, part 38 | Freakonometrics — Sat, 16 Mar 2013 02:07:15 +0000

[...] Declares War on Machine Learning!” http://normaldeviate.wordpress.com/ … by [...]

By: 让祸害人间的显著性星号消失吧！ - 逆袭网 | 逆袭网

让祸害人间的显著性星号消失吧！ - 逆袭网 | 逆袭网 — Fri, 22 Feb 2013 13:42:32 +0000

[...] 著名的标题党Larry Wasserman（卡耐基梅隆统计学和机器学习教授）发表了一篇日志名为“统计学向机器学习宣战”。其实也就是解释“为毛这些该死的统计学家总是用正态近似去求区间估计”。 [...]

By: lkafle

lkafle — Tue, 19 Feb 2013 03:52:00 +0000

Reblogged this on lava kafle kathmandu nepal.

By: statsinthewild

statsinthewild — Tue, 19 Feb 2013 01:23:33 +0000

Reblogged this on Stats in the Wild.

By: (Bi-)weekly links for February 18 « God plays dice

(Bi-)weekly links for February 18 « God plays dice — Tue, 19 Feb 2013 01:01:22 +0000

[...] Larry Wasserman: statistics declares war on machine learning. [...]

By: normaldeviate

normaldeviate — Sun, 17 Feb 2013 20:27:53 +0000

because often it isn’t known how to calculate it exactly

By: anon

anon — Sun, 17 Feb 2013 19:59:13 +0000

but why would one use an approximation, when it is known how to calculate exactly ?

By: Csaba Szepesvari

Csaba Szepesvari — Sun, 17 Feb 2013 03:50:28 +0000

http://en.wikipedia.org/wiki/Hoeffding%27s_inequality
http://en.wikipedia.org/wiki/Bernstein_inequalities_in_probability_theory
http://en.wikipedia.org/wiki/McDiarmid%27s_inequality#McDiarmid.27s_inequality
and many variants (data based, self-normalized, e.g., the book http://www.amazon.com/Self-Normalized-Processes-Statistical-Applications-Probability/dp/3540856358 etc.)

By: Csaba Szepesvari

Csaba Szepesvari — Sun, 17 Feb 2013 03:44:44 +0000

Ken,
See my comments below: What you may think is large, may not be so large. But I am not sure that machine learning people are indeed that worried. It just seems a cultural difference. Oh, and the bounds derived by machine learning people have often a different purpose: To characterize minimax rates for some class of problem or some procedure.