Reproduce “Adaptive and Oblivious Randomized Subspace Methods for High-Dimensional Optimization: Sharp Analysis and Lower Bounds” on OpenResearch

Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.

Universal app for Apple silicon and Intel. Requires macOS 11 or later.

About this paper

Jonathan Lacotte, Mert Pilanci

Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.