Publications

(2024). Learning Robust Statistics for Simulation-based Inference under Model Misspecification. In NeurIPS 2023.

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(2023). Characterizing personalized effects of family information on disease risk using graph representation learning. In MLHC 2023.

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(2023). Virtual laboratories: Transforming research with AI.

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(2023). Online Simulator-Based Experimental Design for Cognitive Model Selection. Computational Brain & Behavior.

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(2023). Compositional Sculpting of Iterative Generative Processes. In NeurIPS 2023.

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(2023). Noise-Aware Statistical Inference with Differentially Private Synthetic Data. In AISTATS 2023.

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(2023). Differentiable user models. In UAI 2023.

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(2023). Zero-shot assistance in sequential decision problems. In AAAI 2023.

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(2023). Toward AI assistants that let designers design. AI Magazine.

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(2022). Human-in-the-loop assisted de novo molecular design. Journal of Cheminformatics.

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(2022). Likelihood-Free Inference by Ratio Estimation. Bayesian Analysis, 17.

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(2022). Tackling covariate shift with node-based Bayesian neural networks. In ICML 2022.

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(2022). Parallel MCMC Without Embarrassing Failures. In ICML 2022.

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(0001). Estimating treatment effects from single-arm trials via latent-variable modeling. In AISTATS 2024.

PDF Cite DOI A new way to do controlled experiments in medicine: simulate the control