{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:VFSRZRZJAUZE2DWCPFRSGRIZ4J","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":"acac8e1ccd7cbccfb753d534a6e17e0815e78e791cda74708cf3c7bb3a270295","cross_cats_sorted":["cs.IT","math.IT","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-05-13T19:21:09Z","title_canon_sha256":"b516a47000c7b4402f7e4cfb2601d2a19171f1ff1bec88e815796f331dd4532a"},"schema_version":"1.0","source":{"id":"1405.3263","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1405.3263","created_at":"2026-05-18T02:51:57Z"},{"alias_kind":"arxiv_version","alias_value":"1405.3263v1","created_at":"2026-05-18T02:51:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1405.3263","created_at":"2026-05-18T02:51:57Z"},{"alias_kind":"pith_short_12","alias_value":"VFSRZRZJAUZE","created_at":"2026-05-18T12:28:52Z"},{"alias_kind":"pith_short_16","alias_value":"VFSRZRZJAUZE2DWC","created_at":"2026-05-18T12:28:52Z"},{"alias_kind":"pith_short_8","alias_value":"VFSRZRZJ","created_at":"2026-05-18T12:28:52Z"}],"graph_snapshots":[{"event_id":"sha256:8f3ec733af6bf3f2fbe06c249068cef50360826e79e6af84871906892efe5963","target":"graph","created_at":"2026-05-18T02:51:57Z","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":"We consider the class of convex minimization problems, composed of a self-concordant function, such as the $\\log\\det$ metric, a convex data fidelity term $h(\\cdot)$ and, a regularizing -- possibly non-smooth -- function $g(\\cdot)$. This type of problems have recently attracted a great deal of interest, mainly due to their omnipresence in top-notch applications. Under this \\emph{locally} Lipschitz continuous gradient setting, we analyze the convergence behavior of proximal Newton schemes with the added twist of a probable presence of inexact evaluations. We prove attractive convergence rate gua","authors_text":"Anastasios Kyrillidis, Quoc Tran-Dinh, Rabeeh Karimi Mahabadi, Volkan Cevher","cross_cats":["cs.IT","math.IT","math.OC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-05-13T19:21:09Z","title":"Scalable sparse covariance estimation via self-concordance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1405.3263","kind":"arxiv","version":1},"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":"sha256:30755dc4704551b11e448c8349113e62b7b5ef58d119810e608d7eb4e9777b9b","target":"record","created_at":"2026-05-18T02:51:57Z","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":"acac8e1ccd7cbccfb753d534a6e17e0815e78e791cda74708cf3c7bb3a270295","cross_cats_sorted":["cs.IT","math.IT","math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-05-13T19:21:09Z","title_canon_sha256":"b516a47000c7b4402f7e4cfb2601d2a19171f1ff1bec88e815796f331dd4532a"},"schema_version":"1.0","source":{"id":"1405.3263","kind":"arxiv","version":1}},"canonical_sha256":"a9651cc72905324d0ec27963234519e26fd8265e9eee96eb6ab63e8041205d17","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a9651cc72905324d0ec27963234519e26fd8265e9eee96eb6ab63e8041205d17","first_computed_at":"2026-05-18T02:51:57.434850Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:51:57.434850Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"n177k2/7NLNfs15WBX98oQ8ARQV8iElpQ45usDHG4AJndpJgiDCUYnMA07NX8zSs9eAm/zkA2OsPSSprk/0hDw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:51:57.435404Z","signed_message":"canonical_sha256_bytes"},"source_id":"1405.3263","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:30755dc4704551b11e448c8349113e62b7b5ef58d119810e608d7eb4e9777b9b","sha256:8f3ec733af6bf3f2fbe06c249068cef50360826e79e6af84871906892efe5963"],"state_sha256":"994f6a05825281dfb8e51c2f414c475e40099e10572f74491cd3adcbefd45976"}