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11/07/2022
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling
Latent variable models such as the Variational Auto-Encoder (VAE) have b...
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06/15/2022
Large-Scale Differentiable Causal Discovery of Factor Graphs
A common theme in causal inference is learning causal relationships betw...
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09/27/2020
Learning from eXtreme Bandit Feedback
We study the problem of batch learning from bandit feedback in the setti...
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02/17/2020
Decision-Making with Auto-Encoding Variational Bayes
To make decisions based on a model fit by Auto-Encoding Variational Baye...
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05/06/2019
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements
Spatial studies of transcriptome provide biologists with gene expression...
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02/07/2019
Cost-Effective Incentive Allocation via Structured Counterfactual Inference
We address a practical problem ubiquitous in modern industry, in which a...
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09/16/2018
A Deep Generative Model for Semi-Supervised Classification with Noisy Labels
Class labels are often imperfectly observed, due to mistakes and to genu...
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05/22/2018
Information Constraints on Auto-Encoding Variational Bayes
Parameterizing the approximate posterior of a generative model with neur...
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10/13/2017
A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes
We propose a probabilistic model for interpreting gene expression levels...
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09/07/2017