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Kan Extensions in Data Science and Machine Learning


Mar 17, 2022
Dan Shiebler


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Generalized Optimization: A First Step Towards Category Theoretic Learning Theory


Sep 20, 2021
Dan Shiebler


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Category Theory in Machine Learning


Jun 13, 2021
Dan Shiebler, Bruno Gavranović, Paul Wilson


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Lessons Learned Addressing Dataset Bias in Model-Based Candidate Generation at Twitter


May 13, 2021
Alim Virani, Jay Baxter, Dan Shiebler, Philip Gautier, Shivam Verma, Yan Xia, Apoorv Sharma, Sumit Binnani, Linlin Chen, Chenguang Yu


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Flattening Multiparameter Hierarchical Clustering Functors


Apr 30, 2021
Dan Shiebler


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Functorial Manifold Learning and Overlapping Clustering


Nov 15, 2020
Dan Shiebler


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Tuning Word2vec for Large Scale Recommendation Systems


Sep 24, 2020
Benjamin P. Chamberlain, Emanuele Rossi, Dan Shiebler, Suvash Sedhain, Michael M. Bronstein

* Fourteenth ACM Conference on Recommender Systems (RecSys '20), September 22--26, 2020, Virtual Event, Brazil 
* 11 pages, 4 figures, Fourteenth ACM Conference on Recommender Systems 

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Categorical Stochastic Processes and Likelihood


May 10, 2020
Dan Shiebler


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Incremental Monoidal Grammars


Jan 10, 2020
Dan Shiebler, Alexis Toumi, Mehrnoosh Sadrzadeh


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