Papers
See also Google Scholar.
Dissertation
University of Cambridge, 2019
Preprints
A. Ścibior, M. Munk, A. Baydin, A. Stewart, G. Fernlund, A. Poursartip, F. Wood
A. Ścibior, S. Naderiparizi, M. Munk, M. Ghadiri, A. Baydin, B. Gram-Hansen,
C. Schroeder de Witt, R. Zinkov, P. Torr, T. Rainforth, Y.W. Teh, F. Wood
A. Ścibior, M. Teng, T.A. Le, F. Wood
Conference Papers
Functional Programming for Modular Bayesian Inference
A. Ścibior, O. Kammar, Z. Ghahramani — ICFP 2018
Denotational Validation of Higher-Order Bayesian Inference
A. Ścibior, O. Kammar, M. Vákár, S. Staton, H. Yang, Y. Cai, K. Ostermann,
S. Moss, C. Heunen, Z. Ghahramani — POPL 2018
Consistent Kernel Mean Estimation for Functions of Random Variables
A. Ścibior, C.-J. Simon-Gabriel, I. Tolstikhin, B. Schölkopf — NeurIPS 2016
Fabular: Regression Formulas as Probabilistic Programming
J. Borgström, A.D. Gordon, A. Ścibior, M. Ouyang, R. Russo, M. Szymczak — POPL 2016
Practical Probabilistic Programming with Monads
A. Ścibior, Z. Ghahramani, A.D. Gordon — Haskell Symposium 2015
Workshop Papers
Strongly Typed Tracing of Probabilistic Programs
A. Ścibior, E. Thomas — LAFI 2019
Model and Inference Combinators for Deep Probabilistic Programming
A. Ścibior, E. Sennesh, Z. Wu, J.-W. van de Meent — LAFI 2019
Composing Modeling and Inference Operations with Probabilistic Program Combinators
A. Ścibior, E. Sennesh, Z. Wu, J.-W. van de Meent — BNP 2018
The Semantic Structure of Quasi-Borel Spaces
C. Heunen, O. Kammar, S. Moss, A. Ścibior, S. Staton, M. Vákár, H. Yang — PPS 2018
Building Inference Algorithms from Monad Transformers
A. Ścibior, Y. Cai, K. Ostermann, Z. Ghahramani — PPS 2017
Modular Construction of Bayesian Inference Algorithms
A. Ścibior, Z. Ghahramani — AABI 2016
Parameterized Probability Monad
A. Ścibior, A.D. Gordon — PPS 2016
Reproducing Kernel Hilbert Space Semantics for Probabilistic Programs
A. Ścibior, B. Schölkopf — PPS 2016
Probabilistic Programming with Effects
A. Ścibior, O. Kammar — HOPE 2015