From e5c767a7c2ad637edb3823dc21ddca22b5d1b425 Mon Sep 17 00:00:00 2001 From: adityavarre Date: Thu, 17 Mar 2022 18:46:42 +0100 Subject: [PATCH] link to ex04 on home --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 8f33350..f6adc41 100644 --- a/README.md +++ b/README.md @@ -36,7 +36,7 @@ Non-Convex Optimization: Convergence to Critical Points, Alternating minimizatio | #1 | 25.2. | Introduction, Convexity | [notes](../../raw/master/lecture_notes/lecture-notes.pdf), [slides](../../raw/master/slides/lecture01.pdf) | [lab01](../../tree/master/labs/ex01/) | | #2 | 4.3. | Gradient Descent | [notes](../../raw/master/lecture_notes/lecture-notes.pdf), [slides](../../raw/master/slides/lecture02.pdf) | [lab02](../../tree/master/labs/ex02/) | | #3 | 11.3. | Projected Gradient Descent | [notes](../../raw/master/lecture_notes/lecture-notes.pdf), [slides](../../raw/master/slides/lecture03.pdf) | [lab03](../../tree/master/labs/ex03/) | -| #4 | 18.3. | Proximal and Subgradient Descent | [notes](../../raw/master/lecture_notes/lecture-notes.pdf), | | +| #4 | 18.3. | Proximal and Subgradient Descent | [notes](../../raw/master/lecture_notes/lecture-notes.pdf), | [lab04](../../tree/master/labs/ex04/) | | #5 | 25.3. | Stochastic Gradient Descent, Non-Convex Optimization | [notes](../../raw/master/lecture_notes/lecture-notes.pdf), | | | #6 | 1.4. | Non-Convex Optimization, Accelerated Gradient Descent | [notes](../../raw/master/lecture_notes/lecture-notes.pdf), | | | #7 | 8.4. | Newton's Method & Quasi-Newton | [notes](../../raw/master/lecture_notes/lecture-notes.pdf), | |