| uuid,description,provenance_ref |
| a3-2BXXPN55URV7BPKB,"Appears as K-Tukey in Section 4.2 of Dick, Gillenwater, and Joseph (2023), Better Private Linear Regression Through Better Private Feature Selection.",benchmark-info/provenance/algorithms/dgj-feature-selection.md |
| a3-2VI332XG7MB5IUCS,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-33CJB6ICT25EUIMZ,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-35XFI4K3TGVC7UBT,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-3A55XWHW4SQEM4SI,House SCE component comparison with fixed core parameters and preparation; not selected for a tuning gain.,benchmark-info/provenance/algorithms/sce-component-comparisons.md |
| a3-3CAKERO2A37AAPTU,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-3FHVHLYLAHLB6QMM,House SCE component comparison with fixed core parameters and preparation; not selected for a tuning gain.,benchmark-info/provenance/algorithms/sce-component-comparisons.md |
| a3-3MLTQMIBYAQAUJZG,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-57HAU6YLAR6WQ4HV,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-5QBIQL3NORULXU5F,"Appears as Algorithm 1 in Slavkovic and Molinari (2021), Perturbed M-Estimation.",benchmark-info/provenance/algorithms/pme.md |
| a3-5VAY2DR4PPP6CG7X,"Appears as the Appendix H linear regression of Kifer, Smith, and Thakurta (2012).",benchmark-info/provenance/algorithms/kst-squared-loss.md |
| a3-67EBGLBL2SRY67RK,"Appears as L-BAS in Section 4.2 of Dick, Gillenwater, and Joseph (2023), Better Private Linear Regression Through Better Private Feature Selection.",benchmark-info/provenance/algorithms/dgj-feature-selection.md |
| a3-6K6CEVZNUAJUTFFR,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-6L2INMURP5O54X3Q,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-6O43XE6JTSD3TYI6,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-6RYDEEITI4DCPLTU,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-6TM5JJYOW2J4JL6R,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-6TRYJURENAX2F3JU,"Appears as L-Tukey in Section 4.2 of Dick, Gillenwater, and Joseph (2023), Better Private Linear Regression Through Better Private Feature Selection.",benchmark-info/provenance/algorithms/dgj-feature-selection.md |
| a3-A7QVRKWN6JTSVS5L,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-BGJ7BJLMROYXK44I,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-BHQE23TMDVGX55V7,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-BMPJNWZXY5MVI6UW,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-BNLMFIYW3IBJSZRW,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-BPOOALCMR5BXH3VE,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-C6NHWGEJLEHQBWNP,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-CEVGWZLOVKDE2EKF,"Appears as the Appendix H linear regression of Kifer, Smith, and Thakurta (2012).",benchmark-info/provenance/algorithms/kst-squared-loss.md |
| a3-CGCOVP756O35S3FY,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-CHIGTNXV6BL3CK4R,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-CNVVOCMJ3JM5QUOL,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-D7NKBIUOVQZDCQMU,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-DHSC7LBFDTKNBL5L,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-DIAB5GAVN7DJVUWX,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-DLINLG6ICOXJKOGP,House SCE component comparison with fixed core parameters and preparation; not selected for a tuning gain.,benchmark-info/provenance/algorithms/sce-component-comparisons.md |
| a3-DPEG37FAJHGYPSXO,House SCE component comparison with fixed core parameters and preparation; not selected for a tuning gain.,benchmark-info/provenance/algorithms/sce-component-comparisons.md |
| a3-DTDZW7SM5Z4RFNHB,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-E3CEPM6GEV6P3R7C,House SCE component comparison with fixed core parameters and preparation; not selected for a tuning gain.,benchmark-info/provenance/algorithms/sce-component-comparisons.md |
| a3-EBYHEW4LQT5EYN5V,House SCE component comparison with fixed core parameters and preparation; not selected for a tuning gain.,benchmark-info/provenance/algorithms/sce-component-comparisons.md |
| a3-EE6FE55EHTS6KVAI,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-EKRNTTLOVWHRCJLC,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-EQXKF3TSA7CQYMZF,"Appears as L-Tukey in Section 4.2 of Dick, Gillenwater, and Joseph (2023), Better Private Linear Regression Through Better Private Feature Selection.",benchmark-info/provenance/algorithms/dgj-feature-selection.md |
| a3-EX43R42YR2F2LZPO,"Appears as Algorithm 1 in Slavkovic and Molinari (2021), Perturbed M-Estimation.",benchmark-info/provenance/algorithms/pme.md |
| a3-F4KX2JTGD4MZZYAS,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-F73ANBSG3H3YD4RI,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-FMYH6CL65JTRL4IH,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-FVROHXWUQN6AAXVZ,House SCE component comparison with fixed core parameters and preparation; not selected for a tuning gain.,benchmark-info/provenance/algorithms/sce-component-comparisons.md |
| a3-FWRHO366N5WF6I5O,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-G2JWVGATHL73MZSS,"Appears as K-Tukey in Section 4.2 of Dick, Gillenwater, and Joseph (2023), Better Private Linear Regression Through Better Private Feature Selection.",benchmark-info/provenance/algorithms/dgj-feature-selection.md |
| a3-GRAIFHL2DFEWY5Z2,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-GUSTN25HPPEO53NO,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-HLRALEJQIDKHFEO7,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-HX74VLMD5EYJV3M5,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-ICNDGUHK4Q4JP676,House SCE component comparison with fixed core parameters and preparation; not selected for a tuning gain.,benchmark-info/provenance/algorithms/sce-component-comparisons.md |
| a3-IDAUK26S2NFTDPP7,"Appears as K-BAS in Section 4.2 of Dick, Gillenwater, and Joseph (2023), Better Private Linear Regression Through Better Private Feature Selection.",benchmark-info/provenance/algorithms/dgj-feature-selection.md |
| a3-IE2LO6D7VSYDMYHB,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-IONW25J3K3IK7FW7,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-IRQ4JNCE3A5IM7PX,"Appears as K-BAS in Section 4.2 of Dick, Gillenwater, and Joseph (2023), Better Private Linear Regression Through Better Private Feature Selection.",benchmark-info/provenance/algorithms/dgj-feature-selection.md |
| a3-ISES7FSPQKJRAYF6,"Appears as K-BAS in Section 4.2 of Dick, Gillenwater, and Joseph (2023), Better Private Linear Regression Through Better Private Feature Selection.",benchmark-info/provenance/algorithms/dgj-feature-selection.md |
| a3-JQNW7DCMCCTZPO6R,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-JUXXJTLNWMAQVW3J,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-JWBIRVJI5NKUOAWL,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-JYPBX7D7X6PRSCR4,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-K6ABHYH6WZGQXUEK,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-KDDZ65LE42PVQOVP,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-KE742HCGCFHGQJSE,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-KZFUEHL7DBM3CF3S,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-L7PTG3RAD4OBEQ2L,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-LJVGPIPNGC5KRSLV,House SCE component comparison with fixed core parameters and preparation; not selected for a tuning gain.,benchmark-info/provenance/algorithms/sce-component-comparisons.md |
| a3-LK3XEO4XUMLFTOO4,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-LOXXUID575SFS467,"Appears as K-BAS in Section 4.2 of Dick, Gillenwater, and Joseph (2023), Better Private Linear Regression Through Better Private Feature Selection.",benchmark-info/provenance/algorithms/dgj-feature-selection.md |
| a3-LQUMJWWADQVCZHKS,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-LTKIUKRY5JWDDVFK,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-LVKLVZMAXU5UEVFM,"Appears as K-Tukey in Section 4.2 of Dick, Gillenwater, and Joseph (2023), Better Private Linear Regression Through Better Private Feature Selection.",benchmark-info/provenance/algorithms/dgj-feature-selection.md |
| a3-MHKS4YG75W26DK23,House SCE component comparison with fixed core parameters and preparation; not selected for a tuning gain.,benchmark-info/provenance/algorithms/sce-component-comparisons.md |
| a3-MOLPLJVUPZZA2C6N,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/ambssgd-campaign.md |
| a3-N4QNMERNO7EELTSN,House SCE component comparison with fixed core parameters and preparation; not selected for a tuning gain.,benchmark-info/provenance/algorithms/sce-component-comparisons.md |
| a3-NG2H6X7UW6WR6G4S,"Appears as L-Tukey in Section 4.2 of Dick, Gillenwater, and Joseph (2023), Better Private Linear Regression Through Better Private Feature Selection.",benchmark-info/provenance/algorithms/dgj-feature-selection.md |
| a3-NOM2CMAIYCYZM652,"Appears as the Appendix H linear regression of Kifer, Smith, and Thakurta (2012).",benchmark-info/provenance/algorithms/kst-squared-loss.md |
| a3-O65FEPXDP4KZ5KIS,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-OU5PXIH64RB2KYRV,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-OX6M5IFJOXK7IFIR,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-PG634DJ53SK624MA,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-PWBD4ZMFPWWCRIPS,"Appears as L-BAS in Section 4.2 of Dick, Gillenwater, and Joseph (2023), Better Private Linear Regression Through Better Private Feature Selection.",benchmark-info/provenance/algorithms/dgj-feature-selection.md |
| a3-PXUZO2N5SZ2FMPIA,"Appears as Algorithm 1 in Slavkovic and Molinari (2021), Perturbed M-Estimation.",benchmark-info/provenance/algorithms/pme.md |
| a3-Q7BWSRAHAG5EJLHA,House SCE component comparison with fixed core parameters and preparation; not selected for a tuning gain.,benchmark-info/provenance/algorithms/sce-component-comparisons.md |
| a3-QGHUONWRCJ4EATJ5,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-QHNAUUVSOWUC2USK,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-QMCRO3LXZEXRL3MF,"Appears as K-BAS in Section 4.2 of Dick, Gillenwater, and Joseph (2023), Better Private Linear Regression Through Better Private Feature Selection.",benchmark-info/provenance/algorithms/dgj-feature-selection.md |
| a3-QRB64ZOSBE6J2LYN,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-QYBBZ2YYKNB7DABQ,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-R7SVIHC64O3NOPBQ,House SCE component comparison with fixed core parameters and preparation; not selected for a tuning gain.,benchmark-info/provenance/algorithms/sce-component-comparisons.md |
| a3-RDXYAGPNO6WM6PYJ,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-RDZJGHY3S5WMUQV7,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-RIVYIIKGSKUJLUOQ,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-RWUEVTMQTREPBMUQ,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/ambssgd-campaign.md |
| a3-S7WPJGEFCQSKCZ56,House SCE component comparison with fixed core parameters and preparation; not selected for a tuning gain.,benchmark-info/provenance/algorithms/sce-component-comparisons.md |
| a3-SDN457YJ4NAX5GID,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-SS4OCEYEKKJXPPFE,"Appears as Algorithm 1 in Slavkovic and Molinari (2021), Perturbed M-Estimation.",benchmark-info/provenance/algorithms/pme.md |
| a3-SYDNYZOR6RYKVGCQ,House SCE component comparison with fixed core parameters and preparation; not selected for a tuning gain.,benchmark-info/provenance/algorithms/sce-component-comparisons.md |
| a3-TR3U4GRALAONSUVX,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-TX77IZBVMTQWS3VW,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-UQ2T37ZVFMMU6CS2,House SCE component comparison with fixed core parameters and preparation; not selected for a tuning gain.,benchmark-info/provenance/algorithms/sce-component-comparisons.md |
| a3-VROYLG5SSPQQFCF5,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-VTOUNPUCI54DEUE7,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-W3WAN7EJYG6HIKCW,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-WD7Q2L4I2FDO4X3K,"Appears as K-Tukey in Section 4.2 of Dick, Gillenwater, and Joseph (2023), Better Private Linear Regression Through Better Private Feature Selection.",benchmark-info/provenance/algorithms/dgj-feature-selection.md |
| a3-WDOD7FAGQERPZ3SI,Tuned on this benchmark's data; selected at eps=1.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-WFDSMSD3LMRO44QD,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-WV4NCKBT5CKKEQQN,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-WYCJV7LQ3HZY7PP7,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-XVKRGQK4QJ2TAKHM,"Tuned on this benchmark's data; selected at eps=3,10.",benchmark-info/provenance/algorithms/ambssgd-campaign.md |
| a3-Y4VV67ZOGALMFR3Y,"Appears as the Appendix H linear regression of Kifer, Smith, and Thakurta (2012).",benchmark-info/provenance/algorithms/kst-squared-loss.md |
| a3-YBT2USHMYLBB5YKQ,House SCE component comparison with fixed core parameters and preparation; not selected for a tuning gain.,benchmark-info/provenance/algorithms/sce-component-comparisons.md |
| a3-YMFZG7ONA3DZAJ4M,Tuned on this benchmark's data; selected at eps=10.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-YUW2BFHSDKZZIE3Y,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-Z4N2QOTVP23WJJ76,Tuned on this benchmark's data; selected at eps=0.3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-Z5P7BQUGWPY3W4RF,Tuned on this benchmark's data; selected at eps=3.,benchmark-info/provenance/algorithms/retune-campaign-2.md |
| a3-ZGB2VKFMW5257ZO2,"Appears as K-BAS in Section 4.2 of Dick, Gillenwater, and Joseph (2023), Better Private Linear Regression Through Better Private Feature Selection.",benchmark-info/provenance/algorithms/dgj-feature-selection.md |
| a3-ZJ5MDH3AKOH7NLZF,"Appears as L-Tukey in Section 4.2 of Dick, Gillenwater, and Joseph (2023), Better Private Linear Regression Through Better Private Feature Selection.",benchmark-info/provenance/algorithms/dgj-feature-selection.md |
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