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06/19/2023
Effect-Invariant Mechanisms for Policy Generalization
Policy learning is an important component of many real-world learning sy...
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05/15/2022
Supervised Learning and Model Analysis with Compositional Data
The compositionality and sparsity of high-throughput sequencing data pos...
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03/17/2022
Identifiability of Sparse Causal Effects using Instrumental Variables
Exogenous heterogeneity, for example, in the form of instrumental variab...
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02/12/2022
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning
Questions in causality, control, and reinforcement learning go beyond th...
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02/03/2022
Exploiting Independent Instruments: Identification and Distribution Generalization
Instrumental variable models allow us to identify a causal function betw...
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06/01/2021
Invariant Policy Learning: A Causal Perspective
In the past decade, contextual bandit and reinforcement learning algorit...
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05/22/2021
Statistical Testing under Distributional Shifts
Statistical hypothesis testing is a central problem in empirical inferen...
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06/12/2020
The Difficult Task of Distribution Generalization in Nonlinear Models
We consider the problem of predicting a response from a set of covariate...
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01/17/2020
Causal models for dynamical systems
A probabilistic model describes a system in its observational state. In ...
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11/05/2019
Stabilizing Variable Selection and Regression
We consider regression in which one predicts a response Y with a set of ...
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10/28/2018
Identifying Causal Structure in Large-Scale Kinetic Systems
In the natural sciences, differential equations are widely used to descr...
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06/04/2018
groupICA: Independent component analysis for grouped data
We introduce groupICA, a novel independent component analysis (ICA) algo...
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03/01/2016