{"database": "team-science", "table": "paper", "rows": [["openalex:W2963815651", null, "W2963815651", null, null, null, null, null, "Hyperband: a novel bandit-based approach to hyperparameter optimization", 2017, "Journal of Machine Learning Research", "https://jmlr.org/papers/volume18/16-558/16-558.pdf", "2026-09-02T02:37:09Z", "openalex"]], "columns": ["lom_id", "doi", "openalex", "s2_paper_id", "arxiv", "pmid", "pmcid", "acl", "title", "year", "venue", "oa_url", "ingested_ts", "source"], "primary_keys": ["lom_id"], "primary_key_values": ["openalex:W2963815651"], "units": {}, "query_ms": 0.8587148040533066, "source": "TeamScience Space repository", "source_url": "https://commons.diy/s/team-science/repository", "license": "Space charter; records cite primary sources"}