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Jason Hartford
Jason Hartford
Dame Kathleen Ollerenshaw Fellow, University of Manchester; Research Scientist at Valence Labs
Zweryfikowany adres z cs.ubc.ca - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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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
610*2017
Deep models of interactions across sets
J Hartford, D Graham, K Leyton-Brown, S Ravanbakhsh
International Conference on Machine Learning, 1909-1918, 2018
1772018
Deep learning for predicting human strategic behavior
JS Hartford, JR Wright, K Leyton-Brown
Advances in neural information processing systems 29, 2016
1122016
Weakly supervised representation learning with sparse perturbations
K Ahuja, JS Hartford, Y Bengio
Advances in Neural Information Processing Systems 35, 15516-15528, 2022
612022
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
442023
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
412020
Properties from mechanisms: an equivariance perspective on identifiable representation learning
K Ahuja, J Hartford, Y Bengio
International Conference on Learning Representations, 2022
362022
Valid causal inference with (some) invalid instruments
JS Hartford, V Veitch, D Sridhar, K Leyton-Brown
International Conference on Machine Learning, 4096-4106, 2021
252021
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
23*2024
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
212022
Object-centric architectures enable efficient causal representation learning
A Mansouri, J Hartford, Y Zhang, Y Bengio
The Twelfth International Conference on Learning Representations, 2024
14*2024
Sequential underspecified instrument selection for cause-effect estimation
E Ailer, J Hartford, N Kilbertus
International Conference on Machine Learning, 408-420, 2023
62023
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
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
22024
Targeted Sequential Indirect Experiment Design
E Ailer, N Dern, J Hartford, N Kilbertus
Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024
12024
Propensity Score Alignment of Unpaired Multimodal Data
J Xi, J Hartford
Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024
12024
ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy
K Kenyon-Dean, ZJ Wang, J Urbanik, K Donhauser, J Hartford, ...
arXiv preprint arXiv:2411.02572, 2024
2024
Efficient Biological Data Acquisition through Inference Set Design
I Neporozhnii, J Roy, E Bengio, J Hartford
arXiv preprint arXiv:2410.19631, 2024
2024
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