{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:DMF2UFQ2SZUKISPMD7AI2E7MSO","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":"37b4648c551152b410a28e2828ae672ed7e1bed4e786b5b95fd279071f4abb83","cross_cats_sorted":["cs.LG","math.OC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2021-06-02T19:18:22Z","title_canon_sha256":"87fcd20ce403bc2ea21f41cf974e8d69cdeda38cac4656eb07f50b8e66e697a2"},"schema_version":"1.0","source":{"id":"2106.01429","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.01429","created_at":"2026-07-05T05:02:08Z"},{"alias_kind":"arxiv_version","alias_value":"2106.01429v2","created_at":"2026-07-05T05:02:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.01429","created_at":"2026-07-05T05:02:08Z"},{"alias_kind":"pith_short_12","alias_value":"DMF2UFQ2SZUK","created_at":"2026-07-05T05:02:08Z"},{"alias_kind":"pith_short_16","alias_value":"DMF2UFQ2SZUKISPM","created_at":"2026-07-05T05:02:08Z"},{"alias_kind":"pith_short_8","alias_value":"DMF2UFQ2","created_at":"2026-07-05T05:02:08Z"}],"graph_snapshots":[{"event_id":"sha256:ca1923c405b5d4c47af956c5204cb99f55b302be4c80e85c1c684fbb53c3b3e0","target":"graph","created_at":"2026-07-05T05:02:08Z","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/2106.01429/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Iteratively reweighted least square (IRLS) is a popular approach to solve sparsity-enforcing regression problems in machine learning. State of the art approaches are more efficient but typically rely on specific coordinate pruning schemes. In this work, we show how a surprisingly simple reparametrization of IRLS, coupled with a bilevel resolution (instead of an alternating scheme) is able to achieve top performances on a wide range of sparsity (such as Lasso, group Lasso and trace norm regularizations), regularization strength (including hard constraints), and design matrices (ranging from cor","authors_text":"Clarice Poon, Gabriel Peyr\\'e","cross_cats":["cs.LG","math.OC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2021-06-02T19:18:22Z","title":"Smooth Bilevel Programming for Sparse Regularization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.01429","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:a7cc9e3554b381caf593e4d5b12b6c1d7edd1c3ec9f26449486edceb1e7f6add","target":"record","created_at":"2026-07-05T05:02:08Z","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":"37b4648c551152b410a28e2828ae672ed7e1bed4e786b5b95fd279071f4abb83","cross_cats_sorted":["cs.LG","math.OC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2021-06-02T19:18:22Z","title_canon_sha256":"87fcd20ce403bc2ea21f41cf974e8d69cdeda38cac4656eb07f50b8e66e697a2"},"schema_version":"1.0","source":{"id":"2106.01429","kind":"arxiv","version":2}},"canonical_sha256":"1b0baa161a9668a449ec1fc08d13ec9384a45af770e04e0f0e47f4e4320ea12e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b0baa161a9668a449ec1fc08d13ec9384a45af770e04e0f0e47f4e4320ea12e","first_computed_at":"2026-07-05T05:02:08.918294Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:02:08.918294Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TJ0RXpdYRceHb5rzUry+i95Lu9bBoPrzgck/Uj6Wsolo0UnDqUaxRhKRK06FMIJPN8ql7vkj4k4949q5NZaYDw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:02:08.918729Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.01429","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a7cc9e3554b381caf593e4d5b12b6c1d7edd1c3ec9f26449486edceb1e7f6add","sha256:ca1923c405b5d4c47af956c5204cb99f55b302be4c80e85c1c684fbb53c3b3e0"],"state_sha256":"756f93c79bfea5895b316c2efa37b72cbbf2400dd968c0b11e8cf4720438f9a5"}