ICML Tutorial: Is Optimization Theory Relevant in 2026?

srush_nlp · x · 2026-07-22

This post shares slides from a high-quality ICML tutorial presented by Mark Schmidt. The session focuses on the topic: "Is optimization theory relevant in 2026?"

Original post →

More from Research

• PoLar: Dynamically Skipping or Looping LLM Layers for Efficient Inference — ttkciar · 2026-07-22
• Stanford Team Introduces Gigatoken, the World's Fastest Tokenizer — StanfordAILab · 2026-07-22
• Tabul AI launches Metal TreeSHAP to speed up Shapley values on Apple silicon — Scobleizer · 2026-07-22
• Reddit points to OpenAI’s ChatGPT Ads page — EcstaticAsparagus509 · 2026-07-22
• Open-source runtime lets each repo define its own AI code reviewer — ibabufrik · 2026-07-22
• DeepSWE: A New Benchmark for Evaluating AI Coding Agents on Real GitHub Issues — pmz · 2026-07-22

Research channel →