MétaCan
Menu
Cohort builder

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.

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Advanced Bandit Algorithms Research
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
fundfunder
venuejournal
aboutaboutness

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 ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
436 works in the cohort · of 4,299,418page 1 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
Bandit Algorithms
Tor Lattimore, Csaba Szepesvári
2020· book· en· Cambridge University Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
851
citations
affno abstractunlabeled
Algorithms for Reinforcement Learning
Csaba Szepesvári
2010· book· en· Synthesis lectures on artificial intelligence and machine learning· Decision Sciences
machine prediction:candidate · noneconsensus · none
750
citations
affunlabeled
Parametric Bandits: The Generalized Linear Case
Sarah Filippi, Olivier Cappé, Aurélien Garivier, Csaba Szepesvári
2010· article· en· Neural Information Processing Systems· Decision Sciences
machine prediction:candidate · noneconsensus · none
261
citations
affunlabeled
Contextual Multi-Armed Bandits
Tyler Lu, Dávid Pál, Martin Pál
2010· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
164
citations
affunlabeled
Online Optimization in X-Armed Bandits
Sébastien Bubeck, Rémi Munos, Gilles Stoltz, Csaba Szepesvári
2008· article· en· RePEc: Research Papers in Economics· Decision Sciences
machine prediction:candidate · noneconsensus · none
122
citations
affunlabeled
Online Markov Decision Processes Under Bandit Feedback
Gergely Neu, András György, Csaba Szepesvári, András Antos
2014· article· en· IEEE Transactions on Automatic Control· Decision Sciences
machine prediction:candidate · noneconsensus · none
102
citations
affunlabeled
Bernoulli Rank-1 Bandits for Click Feedback
Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen
2017· preprint· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
75
citations
affunlabeled
Online Learning with Sample Path Constraints
Shie Mannor, John N. Tsitsiklis, Jia Yuan Yu
2009· article· en· DSpace@MIT (Massachusetts Institute of Technology)· Decision Sciences
machine prediction:candidate · noneconsensus · none
74
citations
affno abstractunlabeled
Partial Monitoring with Side Information
Gábor Bartók, Csaba Szepesvári
2012· book-chapter· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
69
citations
affunlabeled
Dueling algorithms
Nicole Immorlica, Adam Tauman Kalai, Brendan Lucier, Ankur Moitra, Andrew Postlewaite, Moshe Tennenholtz
2011· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
66
citations
affunlabeled
On Explore-Then-Commit Strategies
Aurélien Garivier, Emilie Kaufmann, Tor Lattimore
2016· preprint· en· arXiv (Cornell University)· Decision Sciences
machine prediction:candidate · noneconsensus · none
59
citations
affunlabeled
Bayesian Multi-Scale Optimistic Optimization
Ziyu Wang, Babak Shakibi, Nando de Freitas
2014· preprint· en· arXiv (Cornell University)· Decision Sciences
machine prediction:candidate · noneconsensus · none
53
citations
affunlabeled
Combinatorial cascading bandits
Branislav Kveton, Zheng Wen, Azin Ashkan, Csaba Szepesvári
2015· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
51
citations
affunlabeled
Robust Multiarmed Bandit Problems
Michael Jong Kim, Andrew E. B. Lim
2015· article· en· Management Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
51
citations
affno abstractunlabeled
The Budgeted Multi-armed Bandit Problem
Omid Madani, Daniel J. Lizotte, Russell Greiner
2004· book-chapter· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
44
citations
affno abstractunlabeled
Near-optimal PAC bounds for discounted MDPs
Tor Lattimore, Marcus Hütter
2014· article· en· Theoretical Computer Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
43
citations
affunlabeled
Online Learning to Rank in Stochastic Click Models
Masrour Zoghi, Tomáš Tunys, Mohammad Ghavamzadeh, Branislav Kveton, Csaba Szepesvári, Zheng Wen
2017· preprint· en· arXiv (Cornell University)· Decision Sciences
machine prediction:candidate · noneconsensus · none
41
citations
affunlabeled
PAC-Bayesian Analysis of Contextual Bandits
Yevgeny Seldin, Peter Auer, John Shawe‐Taylor, Ronald Ortner, François Laviolette
2011· article· la· MPG.PuRe (Max Planck Society)· Decision Sciences
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
Online (Budgeted) Social Choice
Joel Oren, Brendan Lucier
2014· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Decision Sciences
machine prediction:candidate · noneconsensus · none
33
citations

How this was built: Screen · Findings · About