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Jason Hartford
Jason Hartford
Post-doc, MILA
Verified email at cs.ubc.ca - Homepage
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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
254*2017
Deep models of interactions across sets
J Hartford, D Graham, K Leyton-Brown, S Ravanbakhsh
International Conference on Machine Learning, 1909-1918, 2018
942018
Deep learning for predicting human strategic behavior
JS Hartford, JR Wright, K Leyton-Brown
Advances in neural information processing systems 29, 2016
802016
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
182020
Valid causal inference with (some) invalid instruments
JS Hartford, V Veitch, D Sridhar, K Leyton-Brown
International Conference on Machine Learning, 4096-4106, 2021
112021
Properties from mechanisms: an equivariance perspective on identifiable representation learning
K Ahuja, J Hartford, Y Bengio
arXiv preprint arXiv:2110.15796, 2021
52021
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
Weakly Supervised Representation Learning with Sparse Perturbations
K Ahuja, J Hartford, Y Bengio
arXiv preprint arXiv:2206.01101, 2022
12022
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
2022
Architectures and learning algorithms for data-driven decision making
JS Hartford
University of British Columbia, 2021
2021
Leveraging Structure Between Environments: Phylogenetic Regularization Incentivizes Disentangled Representations
E LAYNE, D Sridhar, J Hartford, M Blanchette
UAI 2022 Workshop on Causal Representation Learning, 0
Valid Causal Inference with (Some) Invalid Instruments Open Website
J Hartford, V Veitch, D Sridhar, K Leyton-Brown
Predicting Propositional Satisfiability via End-to-End Learning Open Website
C Cameron, R Chen, J Hartford, K Leyton-Brown
Identifying Valid Instruments via Effect Agreement
J Hartford, K Leyton-Brown
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