{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4J267LFFTVHKRTIFFPPBMPMGCW","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":"c9741982b5d05da6133d77aae34192eeb006c0b3fb9a387bd32679d443584307","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-10T01:47:11Z","title_canon_sha256":"ab3204fd24a22052cf4041e3d13d37e7142e761d19984709f249aead5fc06c34"},"schema_version":"1.0","source":{"id":"2411.06329","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.06329","created_at":"2026-07-05T11:04:41Z"},{"alias_kind":"arxiv_version","alias_value":"2411.06329v2","created_at":"2026-07-05T11:04:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.06329","created_at":"2026-07-05T11:04:41Z"},{"alias_kind":"pith_short_12","alias_value":"4J267LFFTVHK","created_at":"2026-07-05T11:04:41Z"},{"alias_kind":"pith_short_16","alias_value":"4J267LFFTVHKRTIF","created_at":"2026-07-05T11:04:41Z"},{"alias_kind":"pith_short_8","alias_value":"4J267LFF","created_at":"2026-07-05T11:04:41Z"}],"graph_snapshots":[{"event_id":"sha256:9aa29d05155ae421c8e7b0ea17e54911465457ffd74bb99b06aeb6a52031435c","target":"graph","created_at":"2026-07-05T11:04:41Z","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/2411.06329/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper investigates regret minimization, statistical inference, and their interplay in high-dimensional online decision-making based on the sparse linear context bandit model. We integrate the $\\varepsilon$-greedy bandit algorithm for decision-making with a hard thresholding algorithm for estimating sparse bandit parameters and introduce an inference framework based on a debiasing method using inverse propensity weighting. Under a margin condition, our method achieves either $O(T^{1/2})$ regret or classical $O(T^{1/2})$-consistent inference, indicating an unavoidable trade-off between expl","authors_text":"Congyuan Duan, Dong Xia, Jiashuo Jiang, Wanteng Ma","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-10T01:47:11Z","title":"Regret Minimization and Statistical Inference in Online Decision Making with High-dimensional Covariates"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.06329","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":"sha256:2bc6a6162e85a55aeebd57d4cfdda1cea08bcc9b0ce4199059d0fe365280ca08","target":"record","created_at":"2026-07-05T11:04:41Z","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":"c9741982b5d05da6133d77aae34192eeb006c0b3fb9a387bd32679d443584307","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-10T01:47:11Z","title_canon_sha256":"ab3204fd24a22052cf4041e3d13d37e7142e761d19984709f249aead5fc06c34"},"schema_version":"1.0","source":{"id":"2411.06329","kind":"arxiv","version":2}},"canonical_sha256":"e275efaca59d4ea8cd052bde163d8615ab813bdc271d9d71c751a0fcd9f1416c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e275efaca59d4ea8cd052bde163d8615ab813bdc271d9d71c751a0fcd9f1416c","first_computed_at":"2026-07-05T11:04:41.699483Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:04:41.699483Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wLh/mHNqTK84LYuH0Q2TGL6mwGV6U4CnrWLl1GVbte/Vo/9w6E+61Z7k4yTXUaaCZA1tE8gxWXCx9BE+s4OSCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:04:41.699977Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.06329","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2bc6a6162e85a55aeebd57d4cfdda1cea08bcc9b0ce4199059d0fe365280ca08","sha256:9aa29d05155ae421c8e7b0ea17e54911465457ffd74bb99b06aeb6a52031435c"],"state_sha256":"2b5e641e9b7fa5d06ace9924ae73b83bdc0807fdd68ed059358be61eecf33e7d"}