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69 results

RL Theory
Lecture 19 (2022-03-19)

Batch RL with Linear Function Approximation and Questions on Lecture Notes 19.

1:17:48
Lecture 19 (2022-03-19)

119 views

3 years ago

Facile d’accès
Topo Hp - Complétude

... que je le veux donc je l'approxime un rayon 1/ m et donc bon je dire qu'en fait ce truc c'est une bonne approximation pour pour.

44:21
Topo Hp - Complétude

850 views

1 year ago

Michael Kohler
Recording of the 7-th lecture on ''Statistical Theory for Deep Learning'' from May 8, 2024

Ds and then we have already seen that if G is pz moov then this uh local convex combination of of the function g approximates g in ...

1:30:55
Recording of the 7-th lecture on ''Statistical Theory for Deep Learning'' from May 8, 2024

102 views

1 year ago

GAO YANG
GY2041#2-2
23:56
GY2041#2-2

7 views

3 years ago

Colin Defant
Monte Carlo Methods

Yeah so this is called a hill climb and basically it's an algorithm where you say okay I'm at some I start at some vertex and if I see ...

1:13:31
Monte Carlo Methods

68 views

4 months ago

Joshua Reyes
11-2-23
1:12:28
11-2-23

19 views

2 years ago

Chris Carmona
Lecture 8: Intro to Bayesian Methods (part 2)

Machine Learning Course @ Hertie, Spring 2025.

26:28
Lecture 8: Intro to Bayesian Methods (part 2)

53 views

9 months ago

Lone Lay
9882 Advance ML - Lecture 2 (11st Sep 2025)
1:08:30
9882 Advance ML - Lecture 2 (11st Sep 2025)

12 views

4 months ago

LesHouches2022
Julia Kempe - Lecture 4 (part 2)

Slides: https://drive.google.com/file/d/1AJfL3lDx6re8wVfYlN6bLWYHbNwyO4ZT/view?usp=sharing.

39:47
Julia Kempe - Lecture 4 (part 2)

324 views

3 years ago

Joshua Reyes
11/21/23
1:00:42
11/21/23

28 views

2 years ago

Michael Kohler
Recording of the 5-th lecture on ''Statistical Theory for Deep Learning'' from April 29, 2024

Kind of approximation error and approximation error is the distance between a function G and a set of function. F and some norm ...

1:31:02
Recording of the 5-th lecture on ''Statistical Theory for Deep Learning'' from April 29, 2024

70 views

1 year ago

powsys lectures
PSE422 - 10/03/2023
50:28
PSE422 - 10/03/2023

25 views

2 years ago

Dr. Phat Vo
The 23rd Midwest Optimization Meeting
25:00
The 23rd Midwest Optimization Meeting

67 views

4 years ago

Shaheel Jaboobles
chadwick part 6: Chadwick Ocean
43:14
chadwick part 6: Chadwick Ocean

6 views

2 years ago

The Proof Essayist
Car Crash Analogy to Understand Cramer's Rule

An illustration of how to use Cramer's Rule to solve a matrix equation system for some nice numbers in an upper triangular (UT) ...

24:22
Car Crash Analogy to Understand Cramer's Rule

29 views

1 year ago

Harley Combest
4.2 Exercises (Ch4) (Algorithm Analysis) (Fa2025)

https://github.com/HC097/ProjectCLRS We begin looking at exercises for the basics of divide-and-conquer. #unitedstates ...

49:44
4.2 Exercises (Ch4) (Algorithm Analysis) (Fa2025)

0 views

3 weeks ago

Harley Combest
Ch3 Problems 1 (Ch3) (Algorithm Analysis) (Fa2025)

https://github.com/HC097/ProjectCLRS We begin looking at exercises for the basics characterizing running times. #unitedstates ...

1:07:32
Ch3 Problems 1 (Ch3) (Algorithm Analysis) (Fa2025)

0 views

3 weeks ago

Jonas Jonsson
Mat - Lektion 6 - IMG 6211
49:47
Mat - Lektion 6 - IMG 6211

8 views

9 months ago

Harley Combest
3.3 Exercises 1 (Ch3) (Algorithm Analysis) (Fa2025)

https://github.com/HC097/ProjectCLRS Note: camera ran out of storage mid 3.3-3. We begin looking at exercises for the basics ...

26:06
3.3 Exercises 1 (Ch3) (Algorithm Analysis) (Fa2025)

0 views

3 weeks ago

Avery Kahar
The Mathematical Modeling of Thin Sheets

The Mathematical Modelling of Thin Sheets by Avery Kahar, Peter Su, and Zhan Cheng A quick survey of how the mass-spring ...

36:49
The Mathematical Modeling of Thin Sheets

98 views

1 month ago