Sotabase

Career

· Dame Kathleen Ollerenshaw Fellow, University of Manchester2024–
· Software Engineer, Amex2021–
· Policy researcher and reporter, Franklin Center for Government and Public Integrity2016–
· Postdoctoral Researcher, Mila, Quebec2016–2021
· PhD in Computer Science, University of British Columbia2016–2021
· Researcher covering health & labor policy, Franklin Center for Government and Public Integrity2014–
· Researcher and Ohio Office Manager, Media Trackers Ohio2012–

Publications (24)

Deep IV: A Flexible Approach for Counterfactual Prediction
International Conference on Machine Learning · 2017
331
cited
Deep Models of Interactions Across Sets
International Conference on Machine Learning · 2018
171
cited
Deep Learning for Predicting Human Strategic Behavior
Neural Information Processing Systems · 2016
96
cited
GFlowNets for AI-Driven Scientific Discovery
Digital Discovery · 2023
76
cited
Weakly Supervised Representation Learning with Sparse Perturbations
Neural Information Processing Systems · 2022
72
cited
Counterfactual Prediction with Deep Instrumental Variables Networks
arXiv.org · 2016
49
cited
Predicting Propositional Satisfiability via End-to-End Learning
AAAI Conference on Artificial Intelligence · 2020
46
cited
Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning
International Conference on Learning Representations · 2021
39
cited
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets
Neural Information Processing Systems · 2023
32
cited
Valid Causal Inference with (Some) Invalid Instruments
International Conference on Machine Learning · 2020
29
cited
The Perils of Learning Before Optimizing
AAAI Conference on Artificial Intelligence · 2021
27
cited
Object-centric architectures enable efficient causal representation learning
International Conference on Learning Representations · 2023
25
cited
DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
arXiv.org · 2023
12
cited
Exemplar Guided Active Learning
Neural Information Processing Systems · 2020
7
cited
Sequential Underspecified Instrument Selection for Cause-Effect Estimation
International Conference on Machine Learning · 2023
5
cited
Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control
arXiv.org · 2025
4
cited
Bayesian Dynamic Causal Discovery
2022
3
cited
Monte Carlo Forest Search: UNSAT Solver Synthesis via Reinforcement learning
arXiv.org · 2022
3
cited
UNSAT Solver Synthesis via Monte Carlo Forest Search
Integration of AI and OR Techniques in Constraint Programming · 2022
3
cited
Sparsity regularization via tree-structured environments for disentangled representations
Trans. Mach. Learn. Res. · 2024
2
cited
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Jason Hartford | Researcher Profile | Sotabase | Sotabase