Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:46:15.889771Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 1 inbound Pith citation observation for arXiv:2506.04509.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:46:15.889771Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T20:56:14.115224Z
A source-named dated measurement, never combined with another source.
Source: cited_works
80 of 80 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ea701ce2-bebb-419c-9ca7-553efbc82241 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets On the value of user preferences in search-based software engineering: A case study in software product lines,
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 971d04d3-c506-46ec-8146-f0f92f30d8cc · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets A case for automated configuration of variability-intensive systems,
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 514bf91a-9c13-41fb-934a-5ddf37372deb · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Search-based software engineering in the era of modern software systems,
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6a07a639-fe8c-4d5f-9dfc-aa7ec0330531 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets The business case for automated software engineering,
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a05fe875-12f3-46bf-b764-3b120309fb9b · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Optimizing energy consumption of guis in android apps: A multi-objective approach,
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 430f381a-4378-4569-acb3-4b0acba8067e · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Active learning for multi-objective optimization,
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 59e0c62a-4f18-4ed6-9c1a-901cdb72156d · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Dehb: Evolutionary hyberband for scalable, robust and efficient hyperparameter optimization,
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation baced6e1-c39d-4159-b229-4d69f217a624 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Improving vulnera- bility inspection efficiency using active learning,
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3057e02b-e2ec-4439-9193-91e4ed255390 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Frugal: Unlocking ssl for software analytics,
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 929360ca-a1d9-4c9f-a29d-f22c274f2c64 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets When less is more: on the value of “co-training
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 026d799a-c3b2-4a65-b540-9d646a014445 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Active learning and effort estimation: Finding the essential content of software effort estimation data,
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b7dd161c-4df9-4d1c-9ca3-dffcb8ba1076 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Finding the right data for software cost modeling,
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 42088a29-c4f5-45e0-bc2d-67ed08a2fb11 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Implications of ceiling effects in defect predictors,
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0ace3f16-39ac-4ebe-843b-fd9287a470c8 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Semi-supervised learning literature survey,
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 386ddf29-3f26-42fe-835a-486ead2a7284 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Extensions of lipschitz mappings into a hilbert space,
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 222948ae-1d99-4325-9159-bf874e092d79 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Benchmarking attribute selection techniques for discrete class data mining,
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 98972386-475a-4bc7-b658-0eb97ddd19ce · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets How to” dodge
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cc93c380-bb90-4773-94fa-92cb91608f71 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 68978fea-7506-422f-8f29-0f5cf4a08775 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Random search for hyper-parameter opti- mization
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f370f30-7aa2-469f-ba7d-5f4ce36bf1f3 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Can Large Language Models Improve SE Active Learning via Warm-Starts?
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b9d2f03-c62f-4bb4-8b2f-ccf95ca40e65 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets A Survey on Deep Tabular Learning
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f5fd21b-32af-4492-8d26-c323ce06eca3 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Automated parameter optimization of classification techniques for defect prediction models,
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 19264398-fecb-4c73-b406-3b6b317d31de · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets The ”bigse
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 36d13e08-c5b1-4ce4-a2bc-48092686429f · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Tuning for software analytics: Is it really necessary?
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 56236b3e-88da-4def-bb8d-563994ac2894 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets On the value of oversampling for deep learning in software defect prediction,
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2edf7fbf-8842-49d8-95e3-ff3e0be80830 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets How to find actionable static analysis warnings: A case study with findbugs,
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 33865188-7048-425c-8c1d-b3870e027ace · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Performance- influence models for highly configurable systems,
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4946a50b-b1e6-4d2a-9b70-26082c6b7aeb · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Personal communication with author, at icse’25, ottawa, canda,
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2995ab55-403d-4035-b77d-37c33c72d1e7 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Finding faster configurations using flash,
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4745787d-d1fc-4c4c-bcbf-620f0ff36e89 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Hey, you have given me too many knobs!
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 807ba15c-3525-4de4-8d95-86aed347d651 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Understanding and detecting software configuration errors,
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ac98bf85-0daa-4246-8074-8c28385a523a · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Automatic database management system tuning through large-scale machine learning,
Reference 32
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 927c8151-c677-49ef-b19b-59e0b018054a · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Starfish: A self-tuning system for big data analytics,
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 64073e3e-2f3b-4dd5-9753-edab36a27925 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Uncertainty-aware self-adaptation in cloud computing,
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7e4d5d3b-63a2-4868-817f-68d4a3a275a8 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets How to evaluate solutions in pareto-based search-based software engineering: A critical review and methodological guidance,
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 144f15d5-b106-4e0f-81ae-5ab39373d925 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Just-in-time bug prediction in mobile applications: the domain matters!
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation dc59d16b-983e-4be2-8e77-c4b30af0acf0 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets What do large commits tell us?: a taxonomical study of large commits,
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation dfa9535c-332a-459e-ad91-b07384382f1b · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets A large-scale empirical study of just-in-time quality assurance,
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7986057-4562-432e-9856-9b202fa4b301 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Classifying software changes: Clean or buggy?
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f76de9bc-7ddc-4301-b089-8cc2c1f9195b · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Identifying reasons for software changes using historic databases
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8f8a80ca-8da1-4298-b0c9-08c1f278ec22 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Personnel communication at fse’18,
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a5869dad-2291-4471-960a-7dbe4e7cdaea · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Quality and productivity outcomes relating to continuous integration in github,
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 216d8e47-c46e-4002-a05b-1dd54f893dbb · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Identifying self-admitted technical debts with jitterbug: A two-step approach,
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9bb657db-9428-438c-b9b3-52faebf5da96 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Data quality matters: A case study on data label correctness for security bug report prediction,
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a56a807a-148c-4070-9b0f-6e69f9cf1d21 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Detecting false alarms from automatic static analysis tools: How far are we?
Reference 45
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d0f1c3b-d3f4-4ba1-821d-4bae75a39724 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets DBSCAN revisited, revisited: Why and how you should (still) use DBSCAN,
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 93abaa56-22fc-44f4-92af-380dd400dae3 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Principal components analysis,
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 253b332a-accf-431e-9210-ae163f641c5a · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Faloutsos and K.-I
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f2eea9a4-815e-49c0-9fe2-a3b5b75f0ecd · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Instance-based learning algorithms,
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e64dd6d8-abee-4ba5-a2ce-24efac0f947e · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Active learning,
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 75d3d6b6-fd3e-4b02-91a5-d40869b38963 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Hyper- band: A novel bandit-based approach to hyperparameter optimization,
Reference 51
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 816f9186-0017-462b-8779-53cfe68f9c05 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Non-stochastic best arm identification and hyperparameter optimization,
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 982b456e-f0e9-4874-bc1c-0f6c87d0bb33 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces,
Reference 53
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6069f656-bb4a-4e42-9e85-12104538b2f0 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Hyperopt: a python library for model selection and hyperparameter optimization,
Reference 54
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8a7afc73-296f-4e8d-a67b-dcd631460e65 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Algorithms for hyper- parameter optimization,
Reference 55
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 47a83ff3-f317-422b-abc9-47c81486ba52 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Predictive accuracy-based active learning for medical image segmentation,
Reference 56
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d457f7cf-c1f9-4f25-8047-a7877038d8ec · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Cluster-based active learning,
Reference 57
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 576337d1-3570-4f13-9178-32d0565aec30 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets k-means++: The advantages of careful seeding,
Reference 58
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 77e81821-20ce-48e9-80fd-a8b151bc3050 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Active learning literature survey,
Reference 59
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0fea9fec-da14-4ea9-b232-a971a6519a5e · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Unresolved cited work
Reference 60
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e13bcf35-67e3-4d6a-94fc-271248f7a418 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Yahpo gym-an efficient multi-objective multi-fidelity benchmark for hyperparameter optimization,
Reference 61
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7ea29283-7a8b-4ba5-a2c9-24cb92aaee12 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Surrogate NAS benchmarks: Going beyond the limited search spaces of tabular NAS benchmarks,
Reference 62
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1c079dac-56f4-4f34-b4a8-6d3fb2682849 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets A cluster analysis method for grouping means in the analysis of variance,
Reference 63
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f976f54d-0a03-4ec9-9bad-6df8c85c1711 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Cliff’s delta calculator: A non-parametric effect size program for two groups of observations,
Reference 64
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 537b2873-784a-40b3-ab46-5b45da843f05 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Efron and R
Reference 65
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a5490871-df6a-473d-be64-84aca8265af2 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Distribution-free multiple comparisons,
Reference 66
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4af4caa0-51ab-4b50-ad64-3fde1540347a · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Moea/d: A multiobjective evolutionary algorithm based on decomposition,
Reference 67
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 30129895-b87b-4f47-89f8-ac5b37de0279 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Priorband: practical hyperparameter optimiza- tion in the age of deep learning,
Reference 68
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bf75ded4-fb43-443b-9047-7294335f38a8 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets A survey on deep learning for software engineering,
Reference 69
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9b08cf6d-3552-4b0d-8876-0cc0ba8b7e57 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Veer: enhancing the interpretability of model-based optimizations,
Reference 70
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f86fb5b2-5eff-495d-8fb1-4991217a4664 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets “sampling
Reference 71
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 11eb3e4c-425b-4586-b601-ea7469ba835c · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Sequential model optimization for software effort estimation,
Reference 72
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1de38007-9a35-42ea-9711-e3e2af523e9e · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Data-efficient performance learning for configurable systems,
Reference 73
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Observation f25101fb-18e2-43fe-8b99-2421010a19f8 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Learning from very little data: On the value of landscape analysis for predicting software project health,
Reference 74
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Observation 0e4dde50-3bed-49d0-88fc-bcdab9ab3045 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Trading off scalability, privacy, and performance in data synthesis,
Reference 75
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Observation f0157d9e-045d-43ea-be72-c4fea17fabc7 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets “the best data are fake data?
Reference 76
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Observation 17cf7eab-6564-435a-969f-04f9b9de62ba · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Smac3: A versatile bayesian optimization package for hyperparameter optimization,
Reference 77
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Observation 7c3f6dda-badf-42cf-bba8-1484689dd663 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Silberschatz, P
Reference 78
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Observation 8809f6a2-2987-4ad8-b677-80b358ad0b47 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets The psycho-biology of language, gk zipf, mit press, cam- bridge, ma.(1935),
Reference 79
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Observation 22f593c2-6f7a-40c8-9e56-185573feae42 · outbound
BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Attention is all you need,
Reference 80
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Observation 0c4d7795-6546-4bb5-a2e1-bda8266b6275 · inbound
When to Use Which? Benchmarking Optimisers for Configurable Systems under Varying Budgets BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets
Reference 26
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