Younesse Kaddar

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

Top Topics

Document Ranking

Bayesian Learning

Top Venues

Proc. ACM Program. Lang.

Publications

Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin
Amortizing intractable inference in large language models. ICLR (2024)
Nathanael L. Ackerman, Cameron E. Freer, Younesse Kaddar, Jacek Karwowski, Sean K. Moss, Daniel M. Roy, Sam Staton, Hongseok Yang
Probabilistic Programming Interfaces for Random Graphs: Markov Categories, Graphons, and Nominal Sets. Proc. ACM Program. Lang. 8 (POPL) (2024)
Edward J. Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin
Amortizing intractable inference in large language models. CoRR (2023)
Swaraj Dash, Younesse Kaddar, Hugo Paquet, Sam Staton
Affine Monads and Lazy Structures for Bayesian Programming. Proc. ACM Program. Lang. 7 (POPL) (2023)
Younesse Kaddar, Sam Staton
A model of stochastic memoization and name generation in probabilistic programming: categorical semantics via monads on presheaf categories. CoRR (2023)
Nathanael L. Ackerman, Cameron E. Freer, Younesse Kaddar, Jacek Karwowski, Sean K. Moss, Daniel M. Roy, Sam Staton, Hongseok Yang
Probabilistic programming interfaces for random graphs: Markov categories, graphons, and nominal sets. CoRR (2023)
Swaraj Dash, Younesse Kaddar, Hugo Paquet, Sam Staton
Affine Monads and Lazy Structures for Bayesian Programming. CoRR (2022)