{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BOFPWOEPDVECUD6I364ED3ESGR","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":"0f2d92cd965c564010e0b93ab429c644ef441575c951e01a57d1c77cade283e5","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-05-23T14:13:11Z","title_canon_sha256":"d980bffef5ef4543d05208e710d5ad98568d5bfde2484468ad82a1bdc1cc7977"},"schema_version":"1.0","source":{"id":"1905.09670","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.09670","created_at":"2026-05-17T23:45:16Z"},{"alias_kind":"arxiv_version","alias_value":"1905.09670v1","created_at":"2026-05-17T23:45:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.09670","created_at":"2026-05-17T23:45:16Z"},{"alias_kind":"pith_short_12","alias_value":"BOFPWOEPDVEC","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BOFPWOEPDVECUD6I","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BOFPWOEP","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:68de31bdf00891115959fd241d46d8889df57e71241c1749fd7cca2090e9fd08","target":"graph","created_at":"2026-05-17T23:45:16Z","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 propose a new scalable multi-class Gaussian process classification approach building on a novel modified softmax likelihood function. The new likelihood has two benefits: it leads to well-calibrated uncertainty estimates and allows for an efficient latent variable augmentation. The augmented model has the advantage that it is conditionally conjugate leading to a fast variational inference method via block coordinate ascent updates. Previous approaches suffered from a trade-off between uncertainty calibration and speed. Our experiments show that our method leads to well-calibrated uncertaint","authors_text":"Christian Donner, Florian Wenzel, Manfred Opper, Th\\'eo Galy-Fajou","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-05-23T14:13:11Z","title":"Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.09670","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":"sha256:0dabe5eaed32924af958f77f60a53122e06d93fc3d76a1063f4db86189d7f3c5","target":"record","created_at":"2026-05-17T23:45:16Z","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":"0f2d92cd965c564010e0b93ab429c644ef441575c951e01a57d1c77cade283e5","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2019-05-23T14:13:11Z","title_canon_sha256":"d980bffef5ef4543d05208e710d5ad98568d5bfde2484468ad82a1bdc1cc7977"},"schema_version":"1.0","source":{"id":"1905.09670","kind":"arxiv","version":1}},"canonical_sha256":"0b8afb388f1d482a0fc8dfb841ec92345685099e2dd02011d417e6bb978fdecb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b8afb388f1d482a0fc8dfb841ec92345685099e2dd02011d417e6bb978fdecb","first_computed_at":"2026-05-17T23:45:16.323175Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:45:16.323175Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P2Ji86aBzwBfgGUpoiyOAxmvx/Xn/UcXbDW2AUFXfwm2994/4rjca+b+JX6698F9tgZKu5aRllF5IzPVWqJSDw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:45:16.323882Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.09670","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0dabe5eaed32924af958f77f60a53122e06d93fc3d76a1063f4db86189d7f3c5","sha256:68de31bdf00891115959fd241d46d8889df57e71241c1749fd7cca2090e9fd08"],"state_sha256":"9e7f9b4f1f42689f646cb3c187e98ceae5a4e7899273af31ac88c5ee5c82bb79"}