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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Advanced Bandit Algorithms Research
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

436 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
436 works in the cohort · of 4,299,418page 3 of 9

Labels cover 1 of 436 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 436 of 436 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
DCM bandits: learning to rank with multiple clicks
Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Zheng Wen
2016· article· en· International Conference on Machine Learning· Decision Sciences
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
The reinforcement learning Kelly strategy
Ruicheng Jiang, David Saunders, Chengguo Weng
2022· article· en· Quantitative Finance· Decision Sciences
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
PORTFOLIO SELECTION AND ONLINE LEARNING
Tatsiana Levina, Glenn Shafer
2008· article· en· International Journal of Uncertainty Fuzziness and Knowledge-Based Systems· Decision Sciences
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Dynamically Aggregating Diverse Information
Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis
2022· article· en· Econometrica· Decision Sciences
machine prediction:candidate · noneconsensus · none
14
citations
fundno affunlabeled
Streaming algorithms for estimating entropy
Nicholas J. A. Harvey, Jelani Nelson, Krzysztof Onak
2008· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
14
citations
affaboutunlabeled
Feature-Based Inventory Control with Censored Demand
Jingying Ding, Woonghee Tim Huh, Ying Rong
2024· article· en· Manufacturing & Service Operations Management· Decision Sciences
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
The Forget-me-not Process
Kieran Milan, Joel Veness, James E. Kirkpatrick, Michael Bowling, Anna Koop, Demis Hassabis
2016· article· en· Neural Information Processing Systems· Decision Sciences
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Learning Product Rankings Robust to Fake Users
Negin Golrezaei, Vahideh Manshadi, Jon Schneider, Shreyas Sekar
2022· article· en· Operations Research· Decision Sciences
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Differentiable Meta-Learning of Bandit Policies.
Craig Boutilier, Chih‐Wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvári, Manzil Zaheer
2020· article· en· Neural Information Processing Systems· Decision Sciences
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Meta-Descent for Online, Continual Prediction
Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
2019· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Bilateral Trade: A Regret Minimization Perspective
Nicolò Cesa‐Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi
2023· article· en· Mathematics of Operations Research· Decision Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Learning While Experimenting
Ettore Damiano, Hao Li, Wing Suen
2019· article· en· The Economic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Adaptive Monte Carlo via Bandit Allocation
James Neufeld, András György, Dale Schuurmans, Csaba Szepesvári
2014· article· en· arXiv (Cornell University)· Decision Sciences
machine prediction:candidate · noneconsensus · none
9
citations
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