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Jason Hartford
Jason Hartford
Senior Machine Learning Research Scientist at Recursion Pharma
Verified email at cs.ubc.ca - Homepage
Title
Cited by
Cited by
Year
Deep IV: A flexible approach for counterfactual prediction
J Hartford, G Lewis, K Leyton-Brown, M Taddy
International Conference on Machine Learning, 1414-1423, 2017
407*2017
Deep models of interactions across sets
J Hartford, D Graham, K Leyton-Brown, S Ravanbakhsh
International Conference on Machine Learning, 1909-1918, 2018
1362018
Deep learning for predicting human strategic behavior
JS Hartford, JR Wright, K Leyton-Brown
Advances in neural information processing systems 29, 2016
842016
Predicting propositional satisfiability via end-to-end learning
C Cameron, R Chen, J Hartford, K Leyton-Brown
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3324-3331, 2020
262020
Valid causal inference with (some) invalid instruments
JS Hartford, V Veitch, D Sridhar, K Leyton-Brown
International Conference on Machine Learning, 4096-4106, 2021
152021
Properties from mechanisms: an equivariance perspective on identifiable representation learning
K Ahuja, J Hartford, Y Bengio
arXiv preprint arXiv:2110.15796, 2021
132021
Weakly supervised representation learning with sparse perturbations
K Ahuja, JS Hartford, Y Bengio
Advances in Neural Information Processing Systems 35, 15516-15528, 2022
82022
The perils of learning before optimizing
C Cameron, J Hartford, T Lundy, K Leyton-Brown
Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3708-3715, 2022
52022
Who’s afraid of the big bad Wolf? Risk aversion and gender discrimination in assessment
J Hartford, N Spearman
Economic Research Southern Africa Working Papers, 2014
32014
Exemplar guided active learning
JS Hartford, K Leyton-Brown, H Raviv, D Padnos, S Lev, B Lenz
Advances in Neural Information Processing Systems 33, 13163-13173, 2020
22020
GFlowNets for AI-driven scientific discovery
M Jain, T Deleu, J Hartford, CH Liu, A Hernandez-Garcia, Y Bengio
Digital Discovery, 2023
12023
Monte Carlo Forest Search: UNSAT Solver Synthesis via Reinforcement learning
C Cameron, J Hartford, T Lundy, T Truong, A Milligan, R Chen, ...
arXiv preprint arXiv:2211.12581, 2022
12022
Object-centric causal representation learning
A Mansouri, J Hartford, K Ahuja, Y Bengio
NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022
12022
Bayesian Dynamic Causal Discovery
A Tong, L Atanackovic, J Hartford, Y Bengio
A causal view on dynamical systems, NeurIPS 2022 workshop, 0
1
Finding the smallest tree in the forest: Monte Carlo Forest Search for UNSAT solving
C Cameron, J Hartford, T Lundy, T Truong, A Milligan, R Chen, ...
2023
Sequential Underspecified Instrument Selection for Cause-Effect Estimation
E Ailer, J Hartford, N Kilbertus
arXiv preprint arXiv:2302.05684, 2023
2023
DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
L Atanackovic, A Tong, J Hartford, LJ Lee, B Wang, Y Bengio
arXiv preprint arXiv:2302.04178, 2023
2023
Architectures and learning algorithms for data-driven decision making
JS Hartford
University of British Columbia, 2021
2021
Unlocking the power of modern ML for use in CSP
C Cameron, J Hartford, T Lundy, K Leyton-Brown
Deep Learning for Predicting Human Strategic Behavior-Supplementary Material
J Hartford, JR Wright, K Leyton-Brown
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