{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:Y37LN6AG2CCQXG344LNZKCIROO","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"cccb5b3d7d26cfd6ee644f045b69960222134c515bb07c7e793558c776ec11ce","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-10-31T21:54:44Z","title_canon_sha256":"8661528b7210a0ae8b283c250d097a4506fc07ce9df8a405f6d13810aa006b61"},"schema_version":"1.0","source":{"id":"2411.00229","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.00229","created_at":"2026-07-05T10:28:25Z"},{"alias_kind":"arxiv_version","alias_value":"2411.00229v2","created_at":"2026-07-05T10:28:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.00229","created_at":"2026-07-05T10:28:25Z"},{"alias_kind":"pith_short_12","alias_value":"Y37LN6AG2CCQ","created_at":"2026-07-05T10:28:25Z"},{"alias_kind":"pith_short_16","alias_value":"Y37LN6AG2CCQXG34","created_at":"2026-07-05T10:28:25Z"},{"alias_kind":"pith_short_8","alias_value":"Y37LN6AG","created_at":"2026-07-05T10:28:25Z"}],"graph_snapshots":[{"event_id":"sha256:6932874aca034df6a6cbbfa4e75c6a0a7ab6269084023c5590eef68a39211c82","target":"graph","created_at":"2026-07-05T10:28:25Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2411.00229/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a novel linear bandit algorithm called LinMED (Linear Minimum Empirical Divergence), which is a linear extension of the MED algorithm that was originally designed for multi-armed bandits. LinMED is a randomized algorithm that admits a closed-form computation of the arm sampling probabilities, unlike the popular randomized algorithm called linear Thompson sampling. Such a feature proves useful for off-policy evaluation where the unbiased evaluation requires accurately computing the sampling probability. We prove that LinMED enjoys a near-optimal regret bound of $d\\sqrt{n}$ up to loga","authors_text":"Kapilan Balagopalan, Kwang-Sung Jun","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-10-31T21:54:44Z","title":"Minimum Empirical Divergence for Sub-Gaussian Linear Bandits"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.00229","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:902de0c75dc284c943bd07d8389fdc5e89e51c5192867cdeafad45902e618997","target":"record","created_at":"2026-07-05T10:28:25Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"cccb5b3d7d26cfd6ee644f045b69960222134c515bb07c7e793558c776ec11ce","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-10-31T21:54:44Z","title_canon_sha256":"8661528b7210a0ae8b283c250d097a4506fc07ce9df8a405f6d13810aa006b61"},"schema_version":"1.0","source":{"id":"2411.00229","kind":"arxiv","version":2}},"canonical_sha256":"c6feb6f806d0850b9b7ce2db95091173afb2adc79f5e1064c392514ea6630a31","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c6feb6f806d0850b9b7ce2db95091173afb2adc79f5e1064c392514ea6630a31","first_computed_at":"2026-07-05T10:28:25.547106Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:28:25.547106Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xhhciu7Vxih7hmcfhMbIdWiglQP2HaIDsIXz+BtG80r3Hzp0B4R0/Wniv3Gy1Ua4Hs8oeC3IqoGI+IKAjv8xDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:28:25.548056Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.00229","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:902de0c75dc284c943bd07d8389fdc5e89e51c5192867cdeafad45902e618997","sha256:6932874aca034df6a6cbbfa4e75c6a0a7ab6269084023c5590eef68a39211c82"],"state_sha256":"c600a588cf782325990c0bd7efe9a41bd4c3162820761dfc6cdce0a4f5c40968"}