Rob Zinkov
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Probabilistic inference by program transformation in Hakaru (system description)
P Narayanan, J Carette, W Romano, C Shan, R Zinkov
Functional and Logic Programming: 13th International Symposium, FLOPS 2016 …, 2016
Using synthetic data to train neural networks is model-based reasoning
TA Le, AG Baydin, R Zinkov, F Wood
2017 international joint conference on neural networks (IJCNN), 3514-3521, 2017
Potential-based Shaping in Model-based Reinforcement Learning.
J Asmuth, ML Littman, R Zinkov
AAAI, 604-609, 2008
Mask wearing in community settings reduces SARS-CoV-2 transmission
G Leech, C Rogers-Smith, JT Monrad, JB Sandbrink, B Snodin, R Zinkov, ...
Proceedings of the National Academy of Sciences 119 (23), e2119266119, 2022
PyMC: a modern, and comprehensive probabilistic programming framework in Python
O Abril-Pla, V Andreani, C Carroll, L Dong, CJ Fonnesbeck, M Kochurov, ...
PeerJ Computer Science 9, e1516, 2023
Faithful inversion of generative models for effective amortized inference
S Webb, A Golinski, R Zinkov, T Rainforth, YW Teh, F Wood
Advances in Neural Information Processing Systems 31, 2018
Querying word embeddings for similarity and relatedness
FT Asr, R Zinkov, M Jones
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
Composing inference algorithms as program transformations
R Zinkov, C Shan
Proceedings of Uncertainty in Artificial Intelligence, …, 2017
End-to-end training of differentiable pipelines across machine learning frameworks
M Milutinovic, AG Baydin, R Zinkov, W Harvey, D Song, F Wood, W Shen
Mass mask-wearing notably reduces COVID-19 transmission
G Leech, C Rogers-Smith, JB Sandbrink, B Snodin, R Zinkov, B Rader, ...
MedRxiv, 2021.06. 16.21258817, 2021
Simulation-based inference for global health decisions
CS de Witt, B Gram-Hansen, N Nardelli, A Gambardella, R Zinkov, ...
arXiv preprint arXiv:2005.07062, 2020
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
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
Sensitivity analysis for distributed optimization with resource constraints.
E Bowring, Z Yin, R Zinkov, M Tambe
AAMAS (1), 633-640, 2009
Verified multi-step synthesis using large language models and monte carlo tree search
D Brandfonbrener, S Raja, T Prasad, C Loughridge, J Yang, S Henniger, ...
arXiv preprint arXiv:2402.08147, 2024
probKanren: A Simple Probabilistic Extension for microKanren.
R Zinkov, WE Byrd
ICLP Workshops, 2021
Simulation-based inference for global health decisions
C Schroeder de Witt, B Gram-Hansen, N Nardelli, A Gambardella, ...
Simulation-Based Inference for Global Health Decisions
W CSd, B Gram-Hansen, N Nardelli, A Gambardella, R Zinkov, P Dokania, ...
Accelerating Program Synthesis in miniKanren
R Zinkov, M Ballantyne, GL Rosenblatt, WE Byrd
Automating Expectation Maximixation
R Zinkov
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Articles 1–20