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06/30/2023
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models
Structural causal models (SCMs) are widely used in various disciplines t...
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06/20/2022
Identifiability of deep generative models under mixture priors without auxiliary information
We prove identifiability of a broad class of deep latent variable models...
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01/01/2021
When Is Generalizable Reinforcement Learning Tractable?
Agents trained by reinforcement learning (RL) often fail to generalize b...
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12/19/2020
Fundamental Limits and Tradeoffs in Invariant Representation Learning
Many machine learning applications involve learning representations that...
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06/29/2020
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification
Adversarial robustness has become a fundamental requirement in modern ma...
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10/17/2019
On Concept-Based Explanations in Deep Neural Networks
Deep neural networks (DNNs) build high-level intelligence on low-level r...
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09/29/2019
Learning Sparse Nonparametric DAGs
We develop a framework for learning sparse nonparametric directed acycli...
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05/26/2018
Robust Nonparametric Regression under Huber's ε-contamination Model
We consider the non-parametric regression problem under Huber's ϵ-contam...
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03/04/2018
