Adam Ścibior
TitleCited byYear
Practical probabilistic programming with monads
A Ścibior, Z Ghahramani, AD Gordon
ACM SIGPLAN Notices 50 (12), 165-176, 2015
482015
Denotational validation of higher-order Bayesian inference
A Ścibior, O Kammar, M Vákár, S Staton, H Yang, Y Cai, K Ostermann, ...
Proceedings of the ACM on Programming Languages 2 (POPL), 60, 2017
302017
Functional programming for modular Bayesian inference
A Ścibior, O Kammar, Z Ghahramani
Proceedings of the ACM on Programming Languages 2 (ICFP), 83, 2018
52018
Fabular: Regression formulas as probabilistic programming
J Borgström, AD Gordon, L Ouyang, C Russo, A Ścibior, M Szymczak
ACM SIGPLAN Notices 51 (1), 271-283, 2016
52016
Consistent kernel mean estimation for functions of random variables
CJ Simon-Gabriel, A Scibior, IO Tolstikhin, B Schölkopf
Advances in Neural Information Processing Systems, 1732-1740, 2016
42016
The Turing language for probabilistic programming
H Ge, K Xu, A Scibior, Z Ghahramani
Artificial Intelligence and Statistics, 2018
32018
Modular construction of Bayesian inference algorithms
A Scibior, Z Ghahramani
NIPS Workshop on Advances in Approximate Bayesian Inference, 2016
32016
Building inference algorithms from monad transformers
A Scibior, Y Cai, K Ostermann, Z Ghahramani
2
Formally justified and modular Bayesian inference for probabilistic programs
AM Ścibior
University of Cambridge, 2019
12019
Deep probabilistic surrogate networks for universal simulator approximation
A Munk, A Ścibior, AG Baydin, A Stewart, G Fernlund, A Poursartip, ...
arXiv preprint arXiv:1910.11950, 2019
12019
Amortized rejection sampling in universal probabilistic programming
S Naderiparizi, A Ścibior, A Munk, M Ghadiri, AG Baydin, B Gram-Hansen, ...
arXiv preprint arXiv:1910.09056, 2019
12019
Composing Modeling and Inference Operations with Probabilistic Program Combinators
E Sennesh, A Ścibior, H Wu, JW van de Meent
arXiv preprint arXiv:1811.05965, 2018
12018
The semantic structure of quasi-Borel spaces
C Heunen, O Kammar, S Staton, S Moss, M Vákár, A Ścibior, H Yang
12018
Effects in Bayesian inference
A Scibior, O Kammar
Workshop on Higher-Order Programming with Effects (HOPE), 2015
12015
Safer End-to-End Autonomous Driving via Conditional Imitation Learning and Command Augmentation
R Wang, A Scibior, F Wood
arXiv preprint arXiv:1909.09721, 2019
2019
Imitation Learning of Factored Multi-agent Reactive Models
M Teng, TA Le, A Scibior, F Wood
arXiv preprint arXiv:1903.04714, 2019
2019
Minimal energy ensemble Monte Carlo algorithm for the partition function of fermions coupled to classical fields
PR Grzybowski, Ł Czekaj, M Nogala, A Ścibior, RW Chhajlany
Physical Review E 93 (6), 061301, 2016
2016
Minimal energy ensemble Monte Carlo for the partition function of fermions coupled to classical fields
PR Grzybowski, Ł Czekaj, M Nogala, A Ścibior, RW Chhajlany
arXiv preprint arXiv:1508.01439, 2015
2015
Strongly typed tracing of probabilistic programs
A Ścibior, M Thomas
Reproducing kernel Hilbert space semantics for probabilistic programs
A Scibior, B Schölkopf
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Articles 1–20