ICML 2026 Tutorial: Bridging Optimization Theory and ML Practice
jasondeanlee · x · 2026-07-07
A user shared a tutorial by Mark Schmidt (UBC) at ICML 2026, which bridges optimization theory with what actually happens in machine learning practice. This "theory ↔ practice" contrast helps clarify the mathematical foundations behind training dynamics. As top-tier academic content, it holds significant learning value for researchers and engineers focused on the underlying principles of deep learning and training engineering.
Related event: ICML 2026 Neural Network Optimization Tutorial Reshapes Intuitions(3 posts)→
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