{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:PGMYVYZ4JHV6OAKYFX5CQS2MK3","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":"0be9ae7d876e936151e86b38182bfd2c4dbe8fc929b8375c10bd0f63cc56324e","cross_cats_sorted":["stat.ML","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2016-06-20T15:38:59Z","title_canon_sha256":"eb47d576909b80eb894f37843e500ebc3a94a49e2f27a89cae84d87b04cfd644"},"schema_version":"1.0","source":{"id":"1606.06179","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.06179","created_at":"2026-05-18T00:59:58Z"},{"alias_kind":"arxiv_version","alias_value":"1606.06179v2","created_at":"2026-05-18T00:59:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.06179","created_at":"2026-05-18T00:59:58Z"},{"alias_kind":"pith_short_12","alias_value":"PGMYVYZ4JHV6","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_16","alias_value":"PGMYVYZ4JHV6OAKY","created_at":"2026-05-18T12:30:39Z"},{"alias_kind":"pith_short_8","alias_value":"PGMYVYZ4","created_at":"2026-05-18T12:30:39Z"}],"graph_snapshots":[{"event_id":"sha256:f90f83fb790dbfc484c4db6cad734e6208b9fc4bfaee4c0731da993cafaedef0","target":"graph","created_at":"2026-05-18T00:59:58Z","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 paper we revisit the risk bounds of the lasso estimator in the context of transductive and semi-supervised learning. In other terms, the setting under consideration is that of regression with random design under partial labeling. The main goal is to obtain user-friendly bounds on the off-sample prediction risk. To this end, the simple setting of bounded response variable and bounded (high-dimensional) covariates is considered. We propose some new adaptations of the lasso to these settings and establish oracle inequalities both in expectation and in deviation. These results provide non-","authors_text":"Arnak S. Dalalyan, Edwin Grappin, Pierre C. Bellec, Quentin Paris","cross_cats":["stat.ML","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2016-06-20T15:38:59Z","title":"On the prediction loss of the lasso in the partially labeled setting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.06179","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":"sha256:39380f718c6826bc6a63f8e749fa07b25bda487d7f0efba3c19fe9e2751737fd","target":"record","created_at":"2026-05-18T00:59:58Z","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":"0be9ae7d876e936151e86b38182bfd2c4dbe8fc929b8375c10bd0f63cc56324e","cross_cats_sorted":["stat.ML","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2016-06-20T15:38:59Z","title_canon_sha256":"eb47d576909b80eb894f37843e500ebc3a94a49e2f27a89cae84d87b04cfd644"},"schema_version":"1.0","source":{"id":"1606.06179","kind":"arxiv","version":2}},"canonical_sha256":"79998ae33c49ebe701582dfa284b4c56de8722cc61f5a63557d88fac60cd7c95","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"79998ae33c49ebe701582dfa284b4c56de8722cc61f5a63557d88fac60cd7c95","first_computed_at":"2026-05-18T00:59:58.156452Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:59:58.156452Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"r/iqqfbKDs/h6hzTOuyRloi1zGluWQhs6S8g2V5ih3PzTdglIhLf0NUmjDrhqifkycGr3fuyCWeurVFgCJ/FCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:59:58.157064Z","signed_message":"canonical_sha256_bytes"},"source_id":"1606.06179","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:39380f718c6826bc6a63f8e749fa07b25bda487d7f0efba3c19fe9e2751737fd","sha256:f90f83fb790dbfc484c4db6cad734e6208b9fc4bfaee4c0731da993cafaedef0"],"state_sha256":"07cd34a509c634eed056777efccd1791ebbce72b29852b793f1f2dbc57d842c2"}