{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:IQEZIE3ZJB2RMNPI5MJ3IUL3L2","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":"2edd22bb1e9a0a729b1fd5cc29995ebc020e256c95f74d5ff92d0641e58124a6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-01-13T10:14:08Z","title_canon_sha256":"78e8656514f3bc7966fa5a27518862a699de971c5555102166efb17a3ad29e2b"},"schema_version":"1.0","source":{"id":"1401.2771","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1401.2771","created_at":"2026-05-18T01:45:26Z"},{"alias_kind":"arxiv_version","alias_value":"1401.2771v1","created_at":"2026-05-18T01:45:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1401.2771","created_at":"2026-05-18T01:45:26Z"},{"alias_kind":"pith_short_12","alias_value":"IQEZIE3ZJB2R","created_at":"2026-05-18T12:28:33Z"},{"alias_kind":"pith_short_16","alias_value":"IQEZIE3ZJB2RMNPI","created_at":"2026-05-18T12:28:33Z"},{"alias_kind":"pith_short_8","alias_value":"IQEZIE3Z","created_at":"2026-05-18T12:28:33Z"}],"graph_snapshots":[{"event_id":"sha256:628d28fd8bdcd84a9fd4ce254fb9e00ff6bca5a4e35b90652fe21299a6ee98cc","target":"graph","created_at":"2026-05-18T01:45:26Z","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":"Recently, a number of mostly $\\ell_1$-norm regularized least squares type deterministic algorithms have been proposed to address the problem of \\emph{sparse} adaptive signal estimation and system identification. From a Bayesian perspective, this task is equivalent to maximum a posteriori probability estimation under a sparsity promoting heavy-tailed prior for the parameters of interest. Following a different approach, this paper develops a unifying framework of sparse \\emph{variational Bayes} algorithms that employ heavy-tailed priors in conjugate hierarchical form to facilitate posterior infe","authors_text":"Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas, Konstantinos E. Themelis","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-01-13T10:14:08Z","title":"A variational Bayes framework for sparse adaptive estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1401.2771","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:f7ee1786f3042c3f2c9e7991f01a435a8e8c513efeedb9462398d65d23d71c7a","target":"record","created_at":"2026-05-18T01:45:26Z","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":"2edd22bb1e9a0a729b1fd5cc29995ebc020e256c95f74d5ff92d0641e58124a6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-01-13T10:14:08Z","title_canon_sha256":"78e8656514f3bc7966fa5a27518862a699de971c5555102166efb17a3ad29e2b"},"schema_version":"1.0","source":{"id":"1401.2771","kind":"arxiv","version":1}},"canonical_sha256":"440994137948751635e8eb13b4517b5e82f792c9c6ccf86c298290b51e403dca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"440994137948751635e8eb13b4517b5e82f792c9c6ccf86c298290b51e403dca","first_computed_at":"2026-05-18T01:45:26.235339Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:45:26.235339Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jgT6wt+zcNplxvkJIV2GzdjVC5iA5qhgjbgAxJm3tIDQQMcrG03MVnSmFREot/uZCsiqPoDHVTbEDhXJd7VkBg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:45:26.235967Z","signed_message":"canonical_sha256_bytes"},"source_id":"1401.2771","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7ee1786f3042c3f2c9e7991f01a435a8e8c513efeedb9462398d65d23d71c7a","sha256:628d28fd8bdcd84a9fd4ce254fb9e00ff6bca5a4e35b90652fe21299a6ee98cc"],"state_sha256":"39a8f0212455a2912e709b88c07646308780243c9cf9c17d065bb993b9eb5afe"}