Pmlr

P. Hoyer, D. Janzing, J. Mooij, J. Peters, B. Schölkopf — actually that’s older.

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. Mooij, J

Use a bulleted list to highlight exactly what is new (e.g., a new loss function, a tighter generalization bound, or a novel dataset). 2. Background and Problem Setting For years, PMLR served faithfully, hosting the proceedings

Better: From : "Rethinking the Value of Labels for Improving Class-Imbalanced Learning" – Y. Zhang, B. Hooi, D. Hu, J. Liang, J. Feng . lightweight digital footprint

Define the machine learning challenge (e.g., "Overcoming catastrophic forgetting in sparse neural networks").

To draft a paper for the , you must follow specific formatting and structural guidelines common to top-tier venues like ICML, AISTATS, or COLT.

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.