From 58135db97a6bf9e0a39a5eeb5a61f11ce8382112 Mon Sep 17 00:00:00 2001 From: Joseph Chakar <108520196+joseph-chakar@users.noreply.github.com> Date: Thu, 20 Jun 2024 10:08:49 +0200 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index ffb2ed2..99bb65f 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ # SCORE $SCORE$ is a 1D reparameterization technique that breaks Bayesian Optimization (BO)’s curse of dimensionality and drastically reduces its computing time by decomposing the full $D$-dimensional space into $D$ 1D spaces along each input variable. -A working paper describing this approach can be found here: https://arxiv.org/abs/2406.12661 +The working paper describing this approach can be found here: https://arxiv.org/abs/2406.12661