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196 results

Liu Ying
Preparation for AADS: Approximation Algorithms

This is to record my practice of oral exam for aads.

13:04
Preparation for AADS: Approximation Algorithms

22 views

2 years ago

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

Rong Yue
HW5Q1
13:29
HW5Q1

0 views

3 years 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

Rong Yue
HW6Q2
8:29
HW6Q2

0 views

3 years ago

Liu Ying
Preparation for AADS: Max-flow

This is the recording of my preparation for the exam of aads: max-flow.

19:10
Preparation for AADS: Max-flow

57 views

2 years ago

Shreya Abraham
4.4 #211
4:18
4.4 #211

15 views

2 years ago

Zhichao Sun
hw10_q1
5:55
hw10_q1

1 view

3 years ago

uwu
Linear approximation

Exam 3 Question 1.

10:47
Linear approximation

1 view

2 years 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

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

7 views

3 years ago

Rong Yue
HW4Q2
6:25
HW4Q2

0 views

3 years ago

Jake Thomas
Near-Square Time SAT Lower Bound

Schnorr's Conversion: https://www.ccs.neu.edu/home/viola/classes/papers/Schnorr-SatNQL.pdf Summary of his conversion: 1.

13:17
Near-Square Time SAT Lower Bound

16 views

2 years ago

Daniela Salgado
Logistic Regression
3:38
Logistic Regression

6 views

11 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

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

Zhichao Sun
hw2 q2
5:22
hw2 q2

3 views

3 years ago

Chris Seyfried
AP Calc AB frq 1 explanation by Chris, Cy and Travis (ft. Tisha and Luca)
5:54
AP Calc AB frq 1 explanation by Chris, Cy and Travis (ft. Tisha and Luca)

12 views

1 year ago

Tony Einertson
Section 8.1
17:12
Section 8.1

12 views

4 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