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XXt Can Be Faster

2025/05/14 by Dmitry Rybin, Yushun Zhang, Rybin, Dmitry +3 · 14 voices
#cs.DS #cs.AI #cs.LG #cs.SC

paper · pdf · doi:10.48550/arxiv.2505.09814

Abstract

We present RXTX, a new algorithm for computing the product of matrix by its transpose XXt for X∈ ℝn× m. RXTX uses 5% fewer multiplications and 5% fewer operations (additions and multiplications) than State-of-the-Art algorithms. Note that the accelerations not only holds asymptotically for large matrices with n → ∞, but also for small matrices including n = 4. The algorithm was discovered by combining Machine Learning-based search methods with Combinatorial Optimization.

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