LINs Lab
@tlin81447321
LINs Lab at Westlake University, https://lins-lab.github.io/
Excited to share our recent work on unifying continuous generative models! ✅ Train/sample all diffusion/flow-matching/consistency models ✅ Ultra-efficient training/tuning (e.g., Fine-tune 250→2-step models in 8 mins!) ✅ Plug-and-play zero-cost sampling acceleration (1/6)
Check out this new book by @NisheethVishnoi on convex optimization. I recommend reading chapters on duality and mirror descent. Mirror descent on Bayes covers plenty of existing algorithms. There are so many that I still haven’t finished my paper 😂 emtiyaz.github.io/papers/learnin… 1/2
1/6 Excited to announce that a draft of my book Algorithms for Convex Optimization (to be published by Cambridge) is available for download: convex-optimization.github.io Intended audience includes undergraduates, graduates and researches from TCS, optimization, and machine learning