{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:NNHCROBUEKE5RWZIDRESCGCKV3","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":"23b4d9bfba2831d06573adeee13e2ea667ffcf02a638a6148eda91b42a1431c6","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-11-19T20:36:30Z","title_canon_sha256":"ed16e894900ac85c333ac2bd861bbd637b08e016ed2d182d06583a4b904a4081"},"schema_version":"1.0","source":{"id":"1611.06426","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.06426","created_at":"2026-05-18T00:49:31Z"},{"alias_kind":"arxiv_version","alias_value":"1611.06426v2","created_at":"2026-05-18T00:49:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.06426","created_at":"2026-05-18T00:49:31Z"},{"alias_kind":"pith_short_12","alias_value":"NNHCROBUEKE5","created_at":"2026-05-18T12:30:32Z"},{"alias_kind":"pith_short_16","alias_value":"NNHCROBUEKE5RWZI","created_at":"2026-05-18T12:30:32Z"},{"alias_kind":"pith_short_8","alias_value":"NNHCROBU","created_at":"2026-05-18T12:30:32Z"}],"graph_snapshots":[{"event_id":"sha256:2868e8c306cb038ee01b2615dcbabf2c49f4f787b13df5d0f1f5767a8b284111","target":"graph","created_at":"2026-05-18T00:49:31Z","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"},"paper":{"abstract_excerpt":"Safety is a desirable property that can immensely increase the applicability of learning algorithms in real-world decision-making problems. It is much easier for a company to deploy an algorithm that is safe, i.e., guaranteed to perform at least as well as a baseline. In this paper, we study the issue of safety in contextual linear bandits that have application in many different fields including personalized ad recommendation in online marketing. We formulate a notion of safety for this class of algorithms. We develop a safe contextual linear bandit algorithm, called conservative linear UCB (C","authors_text":"Abbas Kazerouni, Benjamin Van Roy, Mohammad Ghavamzadeh, Yasin Abbasi-Yadkori","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-11-19T20:36:30Z","title":"Conservative Contextual Linear Bandits"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.06426","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:e8dd4ed1f3b6330b5a5ec9260a15431965f7b34592cd5c048c6095460cc43bff","target":"record","created_at":"2026-05-18T00:49:31Z","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":"23b4d9bfba2831d06573adeee13e2ea667ffcf02a638a6148eda91b42a1431c6","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-11-19T20:36:30Z","title_canon_sha256":"ed16e894900ac85c333ac2bd861bbd637b08e016ed2d182d06583a4b904a4081"},"schema_version":"1.0","source":{"id":"1611.06426","kind":"arxiv","version":2}},"canonical_sha256":"6b4e28b8342289d8db281c4921184aaee53879bd79427310e9c3e8fde70046cb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6b4e28b8342289d8db281c4921184aaee53879bd79427310e9c3e8fde70046cb","first_computed_at":"2026-05-18T00:49:31.713581Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:49:31.713581Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5fPlobMp0UdFl850eXxrlPNuK4vR2eNbJfOyWt4wMZDdmTwzmSUa5d3r9ZQLMOHiZdQHpPVkt3lFctc4uv8ZDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:49:31.714190Z","signed_message":"canonical_sha256_bytes"},"source_id":"1611.06426","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e8dd4ed1f3b6330b5a5ec9260a15431965f7b34592cd5c048c6095460cc43bff","sha256:2868e8c306cb038ee01b2615dcbabf2c49f4f787b13df5d0f1f5767a8b284111"],"state_sha256":"1e20e188bdb30e76f04b0a85033926a39a556b4ad01d964c20842d1014106c07"}