{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:7QI6FLKYS6MGGMBQ7VC7GVFDFZ","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":"f92a841d78471a7722a64660ba471f41ba3ab1be054779cb496610fa7f5b0177","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-12-04T11:01:11Z","title_canon_sha256":"a2ad315f27a32d0e1608ac0bd4cb32974388c6af8ba6a7fe53bf2da4b562aeae"},"schema_version":"1.0","source":{"id":"1412.1619","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1412.1619","created_at":"2026-05-18T01:02:05Z"},{"alias_kind":"arxiv_version","alias_value":"1412.1619v3","created_at":"2026-05-18T01:02:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.1619","created_at":"2026-05-18T01:02:05Z"},{"alias_kind":"pith_short_12","alias_value":"7QI6FLKYS6MG","created_at":"2026-05-18T12:28:19Z"},{"alias_kind":"pith_short_16","alias_value":"7QI6FLKYS6MGGMBQ","created_at":"2026-05-18T12:28:19Z"},{"alias_kind":"pith_short_8","alias_value":"7QI6FLKY","created_at":"2026-05-18T12:28:19Z"}],"graph_snapshots":[{"event_id":"sha256:c3e60839f412ad003a280e26c77aef9b18db52d8c03b325c0a410001e09cc42f","target":"graph","created_at":"2026-05-18T01:02:05Z","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":"In this work we consider the learning setting where, in addition to the training set, the learner receives a collection of auxiliary hypotheses originating from other tasks. We focus on a broad class of ERM-based linear algorithms that can be instantiated with any non-negative smooth loss function and any strongly convex regularizer. We establish generalization and excess risk bounds, showing that, if the algorithm is fed with a good combination of source hypotheses, generalization happens at the fast rate $\\mathcal{O}(1/m)$ instead of the usual $\\mathcal{O}(1/\\sqrt{m})$. On the other hand, if","authors_text":"Francesco Orabona, Ilja Kuzborskij","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-12-04T11:01:11Z","title":"Fast Rates by Transferring from Auxiliary Hypotheses"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.1619","kind":"arxiv","version":3},"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:e10a068a3caccf301c2ef50811c55b1a94ea64310882568c7a93f37e4fd1353f","target":"record","created_at":"2026-05-18T01:02:05Z","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":"f92a841d78471a7722a64660ba471f41ba3ab1be054779cb496610fa7f5b0177","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-12-04T11:01:11Z","title_canon_sha256":"a2ad315f27a32d0e1608ac0bd4cb32974388c6af8ba6a7fe53bf2da4b562aeae"},"schema_version":"1.0","source":{"id":"1412.1619","kind":"arxiv","version":3}},"canonical_sha256":"fc11e2ad589798633030fd45f354a32e7b00051e9edfbd08748daac7c1739766","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fc11e2ad589798633030fd45f354a32e7b00051e9edfbd08748daac7c1739766","first_computed_at":"2026-05-18T01:02:05.284261Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:02:05.284261Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AkaMemWVmjOYHL7S7vEVHO9Fq2bP4zi/QyLaSbzM2AjbWOMKOLP16+j2i0GRLc/3mwq/xOPXamRA1W5SPonUAA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:02:05.284773Z","signed_message":"canonical_sha256_bytes"},"source_id":"1412.1619","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e10a068a3caccf301c2ef50811c55b1a94ea64310882568c7a93f37e4fd1353f","sha256:c3e60839f412ad003a280e26c77aef9b18db52d8c03b325c0a410001e09cc42f"],"state_sha256":"482e85633cc21406e21405e13d45c758a3525d9f3a8ee2800ba59bf869c08e38"}