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Jason Hartford
Jason Hartford
Staff Machine Learning Research Scientist at Valence Labs / 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
600*2017
Deep models of interactions across sets
J Hartford, D Graham, K Leyton-Brown, S Ravanbakhsh
International Conference on Machine Learning, 1909-1918, 2018
1642018
Deep learning for predicting human strategic behavior
JS Hartford, JR Wright, K Leyton-Brown
Advances in neural information processing systems 29, 2016
1032016
Weakly supervised representation learning with sparse perturbations
K Ahuja, JS Hartford, Y Bengio
Advances in Neural Information Processing Systems 35, 15516-15528, 2022
492022
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
352020
Properties from mechanisms: an equivariance perspective on identifiable representation learning
K Ahuja, J Hartford, Y Bengio
arXiv preprint arXiv:2110.15796, 2021
332021
Gflownets for ai-driven scientific discovery
M Jain, T Deleu, J Hartford, CH Liu, A Hernandez-Garcia, Y Bengio
Digital Discovery 2 (3), 557-577, 2023
272023
Valid causal inference with (some) invalid instruments
JS Hartford, V Veitch, D Sridhar, K Leyton-Brown
International Conference on Machine Learning, 4096-4106, 2021
212021
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
162022
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets
L Atanackovic, A Tong, B Wang, LJ Lee, Y Bengio, JS Hartford
Advances in Neural Information Processing Systems 36, 2024
12*2024
Object-centric architectures enable efficient causal representation learning
A Mansouri, J Hartford, Y Zhang, Y Bengio
arXiv preprint arXiv:2310.19054, 2023
8*2023
UNSAT Solver Synthesis via Monte Carlo Forest Search
C Cameron, J Hartford, T Lundy, T Truong, A Milligan, R Chen, ...
International Conference on the Integration of Constraint Programming …, 2024
5*2024
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
42020
Sequential underspecified instrument selection for cause-effect estimation
E Ailer, J Hartford, N Kilbertus
International Conference on Machine Learning, 408-420, 2023
32023
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
A novel and efficient machine learning Mendelian randomization estimator applied to predict the safety and efficacy of sclerostin inhibition
MA Legault, J Hartford, BJ Arsenault, AY Yang, J Pineau
medRxiv, 2024.01. 30.24302021, 2024
12024
Targeted Sequential Indirect Experiment Design
E Ailer, N Dern, J Hartford, N Kilbertus
arXiv preprint arXiv:2405.19985, 2024
2024
Leveraging Structure Between Environments: Phylogenetic Regularization Incentivizes Disentangled Representations
E Layne, J Hartford, S Lachapelle, M Blanchette, D Sridhar
arXiv preprint arXiv:2405.20482, 2024
2024
Propensity Score Alignment of Unpaired Multimodal Data
J Xi, J Hartford
arXiv preprint arXiv:2404.01595, 2024
2024
Beyond the injective assumption in causal representation learning
J Hartford, K Ahuja, Y Bengio, D Sridhar
2022
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