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Adam Ścibior
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Practical probabilistic programming with monads
A Ścibior, Z Ghahramani, AD Gordon
Proceedings of the 2015 ACM SIGPLAN Symposium on Haskell, 165-176, 2015
682015
Denotational validation of higher-order Bayesian inference
A Ścibior, O Kammar, M Vákár, S Staton, H Yang, Y Cai, K Ostermann, ...
arXiv preprint arXiv:1711.03219, 2017
642017
Functional programming for modular Bayesian inference
A Ścibior, O Kammar, Z Ghahramani
Proceedings of the ACM on Programming Languages 2 (ICFP), 1-29, 2018
292018
Planning as Inference in Epidemiological Dynamics Models
F Wood, A Warrington, S Naderiparizi, C Weilbach, V Masrani, W Harvey, ...
Frontiers in Artificial Intelligence 4, 550603, 2022
192022
Robust asymmetric learning in pomdps
A Warrington, JW Lavington, A Scibior, M Schmidt, F Wood
International Conference on Machine Learning, 11013-11023, 2021
152021
Imagining the road ahead: Multi-agent trajectory prediction via differentiable simulation
A Ścibior, V Lioutas, D Reda, P Bateni, F Wood
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
122021
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
92019
Consistent kernel mean estimation for functions of random variables
CJ Simon-Gabriel, A Scibior, IO Tolstikhin, B Schölkopf
Advances in Neural Information Processing Systems 29, 2016
92016
The semantic structure of quasi-Borel spaces
C Heunen, O Kammar, S Staton, S Moss, M Vákár, A Ścibior, H Yang
PPS Workshop on Probabilistic Programming Semantics, 2018
82018
Fabular: Regression formulas as probabilistic programming
J Borgström, AD Gordon, L Ouyang, C Russo, A Ścibior, M Szymczak
Proceedings of the 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of …, 2016
72016
Differentiable particle filtering without modifying the forward pass
A Ścibior, F Wood
arXiv preprint arXiv:2106.10314, 2021
62021
Amortized rejection sampling in universal probabilistic programming
S Naderiparizi, A Scibior, A Munk, M Ghadiri, AG Baydin, ...
International Conference on Artificial Intelligence and Statistics, 8392-8412, 2022
52022
Semi-supervised sequential generative models
M Teng, TA Le, A Scibior, F Wood
arXiv preprint arXiv:2007.00155, 2020
52020
Probabilistic surrogate networks for simulators with unbounded randomness
A Munk, B Zwartsenberg, A Ścibior, AGG Baydin, A Stewart, G Fernlund, ...
Uncertainty in Artificial Intelligence, 1423-1433, 2022
32022
The Turing language for probabilistic programming
H Ge, K Xu, A Scibior, Z Ghahramani
The Turing language for probabilistic programming, 2016
32016
Modular construction of Bayesian inference algorithms
A Scibior, Z Ghahramani
NIPS Workshop on Advances in Approximate Bayesian Inference, 2016
32016
Effects in Bayesian inference
A Scibior, O Kammar
Workshop on Higher-Order Programming with Effects (HOPE), 2015
32015
Efficient Bayesian inference for nested simulators
B Gram-Hansen, CS de Witt, R Zinkov, S Naderiparizi, A Scibior, A Munk, ...
Second Symposium on Advances in Approximate Bayesian Inference, 2019
22019
Formally justified and modular Bayesian inference for probabilistic programs
AM Ścibior
University of Cambridge, 2019
22019
Strongly typed tracing of probabilistic programs
A Ścibior, M Thomas
LAFI, 2019
22019
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Articles 1–20