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05/02/2023
Psychologically-Inspired Causal Prompts
NLP datasets are richer than just input-output pairs; rather, they carry...
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10/25/2022
Differentially Private Language Models for Secure Data Sharing
To protect the privacy of individuals whose data is being shared, it is ...
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10/07/2021
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning in NLP
The principle of independent causal mechanisms (ICM) states that generat...
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03/02/2018
Detecting non-causal artifacts in multivariate linear regression models
We consider linear models where d potential causes X_1,...,X_d are corre...
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02/11/2018
On the Latent Space of Wasserstein Auto-Encoders
We study the role of latent space dimensionality in Wasserstein auto-enc...
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12/05/2017
Optimizing Human Learning
Spaced repetition is a technique for efficient memorization which uses r...
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11/27/2017
Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation
Online social networking sites are experimenting with the following crow...
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11/05/2017
Wasserstein Auto-Encoders
We propose the Wasserstein Auto-Encoder (WAE)---a new algorithm for buil...
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06/30/2017
Probabilistic Active Learning of Functions in Structural Causal Models
We consider the problem of learning the functions computing children fro...
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05/22/2017
From optimal transport to generative modeling: the VEGAN cookbook
We study unsupervised generative modeling in terms of the optimal transp...
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04/05/2017
Detecting confounding in multivariate linear models via spectral analysis
We study a model where one target variable Y is correlated with a vector...
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03/04/2016
Causal inference for cloud computing
Cloud computing involves complex technical and economical systems and in...
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08/09/2014
One-Class Support Measure Machines for Group Anomaly Detection
We propose one-class support measure machines (OCSMMs) for group anomaly...
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08/09/2014
From Ordinary Differential Equations to Structural Causal Models: the deterministic case
We show how, and under which conditions, the equilibrium states of a fir...
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05/12/2014
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm
Information spreads across social and technological networks, but often ...
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11/29/2013
Adaptive nonparametric detection in cryo-electron microscopy
Cryo-electron microscopy (cryo-EM) is an emerging experimental method to...
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09/26/2013
Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders
We propose a kernel method to identify finite mixtures of nonparametric ...
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05/15/2013
Modeling Information Propagation with Survival Theory
Networks provide a skeleton for the spread of contagions, like, informat...
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06/27/2012
On Causal and Anticausal Learning
We consider the problem of function estimation in the case where an unde...
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05/09/2012
Identifying confounders using additive noise models
We propose a method for inferring the existence of a latent common cause...
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03/15/2012
Invariant Gaussian Process Latent Variable Models and Application in Causal Discovery
In nonlinear latent variable models or dynamic models, if we consider th...
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03/15/2012
Inferring deterministic causal relations
We consider two variables that are related to each other by an invertibl...
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02/14/2012
Kernel-based Conditional Independence Test and Application in Causal Discovery
Conditional independence testing is an important problem, especially in ...
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02/14/2012
Identifiability of Causal Graphs using Functional Models
This work addresses the following question: Under what assumptions on th...
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02/14/2012
Detecting low-complexity unobserved causes
We describe a method that infers whether statistical dependences between...
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10/29/2009
Distinguishing Cause and Effect via Second Order Exponential Models
We propose a method to infer causal structures containing both discrete ...
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09/24/2009
Telling cause from effect based on high-dimensional observations
We describe a method for inferring linear causal relations among multi-d...
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10/27/2008
Statistical Learning Theory: Models, Concepts, and Results
Statistical learning theory provides the theoretical basis for many of t...
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04/23/2008