Lester Mackey
@lestermackey.bsky.social
Machine learning researcher at Microsoft Research. Adjunct professor at Stanford.
Reposted by Lester Mackey
You can read more in our post at www.jurabio.com/blog/leavs; preprint forthcoming.
@jura.bsky.social @eliweinstein.bsky.social @mgollub.bsky.social @highvariance.bsky.social
@jura.bsky.social @eliweinstein.bsky.social @mgollub.bsky.social @highvariance.bsky.social
LeaVS: Accelerating learning for biological AI — JURA Bio, Inc.
A fundamental lesson of modern AI is that scale is essential: training bigger models on bigger datasets unlocks new capabilities. A fundamental lesson of AI engineering is that scaling up isn't trivia...
www.jurabio.com
September 22, 2025 at 12:15 PM
You can read more in our post at www.jurabio.com/blog/leavs; preprint forthcoming.
@jura.bsky.social @eliweinstein.bsky.social @mgollub.bsky.social @highvariance.bsky.social
@jura.bsky.social @eliweinstein.bsky.social @mgollub.bsky.social @highvariance.bsky.social
If you’d like to expand your analysis to support equal weighted kernel thinning coresets, have a look at Low-Rank Thinning (arxiv.org/pdf/2502.12063); that bounds kernel thinning MMD directly in terms of eigenvalue decay
arxiv.org
May 1, 2025 at 6:07 PM
If you’d like to expand your analysis to support equal weighted kernel thinning coresets, have a look at Low-Rank Thinning (arxiv.org/pdf/2502.12063); that bounds kernel thinning MMD directly in terms of eigenvalue decay