Adam Ścibior

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Citations	343	308
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Frank WoodUniversity of British ColumbiaVerified email at cs.ubc.ca
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Ohad KammarUniversity of Edinburgh School of InformaticsVerified email at ed.ac.uk
Vasileios LioutasPh.D. Student, University of British ColumbiaVerified email at cs.ubc.ca
Jonathan Wilder LavingtonPhD Student, University of British ColumbiaVerified email at cs.ubc.ca
Hongseok YangProfessor, School of Computing, KAISTVerified email at kaist.ac.kr
Chris HeunenUniversity of EdinburghVerified email at ed.ac.uk
Matthijs VákárAssistant Professor, Utrecht UniversityVerified email at uu.nl
Andrew D GordonMicrosoft Research and University of EdinburghVerified email at microsoft.com
Klaus OstermannProfessor of Computer Science, University of Tübingen, GermanyVerified email at uni-tuebingen.de
Atılım Güneş BaydinUniversity of OxfordVerified email at robots.ox.ac.uk
Andreas MunkPhD in Computer Science, University of British ColumbiaVerified email at ammunk.com
Berend ZwartsenbergUniversity of British ColumbiaVerified email at cs.ubc.ca
Andrew WarringtonPostdoc, Stanford UniversityVerified email at stanford.edu
Saeid NaderipariziPhD student, University of British ColumbiaVerified email at cs.ubc.ca
Anoush PoursartipThe University of British ColumbiaVerified email at ubc.ca
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Tom RainforthUniversity of OxfordVerified email at stats.ox.ac.uk
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Bradley Gram-HansenAI Research Scientist, Dataminr | DPhil, Oxford UniversityVerified email at dataminr.com

Adam Ścibior

University of British Columbia

Verified email at cs.ubc.ca - Homepage

Machine Learning Programming Languages


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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), 1-29, 2017	76	2017
Practical probabilistic programming with monads A Ścibior, Z Ghahramani, AD Gordon Proceedings of the 2015 ACM SIGPLAN Symposium on Haskell, 165-176, 2015	72	2015
Functional programming for modular Bayesian inference A Ścibior, O Kammar, Z Ghahramani Proceedings of the ACM on Programming Languages 2 (ICFP), 1-29, 2018	35	2018
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	25	2021
Robust asymmetric learning in pomdps A Warrington, JW Lavington, A Scibior, M Schmidt, F Wood International Conference on Machine Learning, 11013-11023, 2021	23	2021
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	18	2022
Deep probabilistic surrogate networks for universal simulator approximation A Munk, A Scibior, AG Baydin, A Stewart, G Fernlund, A Poursartip, ... arXiv preprint arXiv:1910.11950 25, 2019	13	2019
Differentiable particle filtering without modifying the forward pass A Ścibior, F Wood arXiv preprint arXiv:2106.10314, 2021	10	2021
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	9	2016
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	8	2018
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	7	2016
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	5	2022
Semi-supervised sequential generative models M Teng, TA Le, A Scibior, F Wood arXiv preprint arXiv:2007.00155, 2020	5	2020
Effects in Bayesian inference A Scibior, O Kammar Workshop on Higher-Order Programming with Effects (HOPE), 2015	5	2015
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	4	2022
Titrated: Learned human driving behavior without infractions via amortized inference V Lioutas, A Scibior, F Wood Transactions on Machine Learning Research, 2022	4	2022
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	4	2019
NeurIPS 2022 Competition: Driving SMARTS A Rasouli, R Goebel, ME Taylor, I Kotseruba, S Alizadeh, T Yang, ... arXiv preprint arXiv:2211.07545, 2022	3	2022
The Turing language for probabilistic programming H Ge, K Xu, A Scibior, Z Ghahramani Artificial Intelligence and Statistics, 2018	3	2018
Modular construction of Bayesian inference algorithms A Scibior, Z Ghahramani NIPS Workshop on Advances in Approximate Bayesian Inference, 2016	3	2016

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