The turning point came with the rise of the major conferences: ICML, AISTATS, and COLT. These became the true gathering places of the minds. But there was a problem. After a researcher presented their work at a conference, the paper would often disappear into the ether, or worse, be locked away again by a publisher who claimed copyright over the conference proceedings.
For years, PMLR served faithfully, hosting the proceedings for the giants of the industry: ICML and AISTATS. It was a quiet, reliable infrastructure, maintained by a dedicated community who believed that science should be free. The turning point came with the rise of
By offering persistent URLs and maintaining a highly organized, lightweight digital footprint, the PMLR Indexing System ensures that foundational machine learning algorithms remain universally accessible. This democratic distribution model prevents breakthroughs from being locked behind expensive corporate paywalls, actively accelerating global AI development. After a researcher presented their work at a
PMLR was built on three pillars that defied the old traditions: By offering persistent URLs and maintaining a highly
Describe your algorithm in detail. Include using an algorithm block. Intuition: Why should this approach work? Formalization: Provide the equations governing your model.