Peter J. Bickel | DeepAI

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Michael W. Mahoney
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∙ 06/27/2022

Measures of independence and functional dependence

We follow up on Shi et al's (2020) and Cao's and my (2020) work on the l...

0 Peter J. Bickel, et al. ∙

∙ 11/27/2021

Learning from learning machines: a new generation of AI technology to meet the needs of science

We outline emerging opportunities and challenges to enhance the utility ...

26 Luca Pion-Tonachini, et al. ∙

∙ 09/06/2021

Semiparametric Estimation of Treatment Effects in Randomized Experiments

We develop new semiparametric methods for estimating treatment effects. ...

0 Susan Athey, et al. ∙

∙ 07/29/2021

Binomial Mixture Model With U-shape Constraint

In this article, we study the binomial mixture model under the regime th...

0 Yuting Ye, et al. ∙

∙ 02/25/2021

Interpretable Sensitivity Analysis for Balancing Weights

Assessing sensitivity to unmeasured confounding is an important step in ...

0 Dan Soriano, et al. ∙

∙ 08/24/2020

Correlations with tailored extremal properties

Recently, Chatterjee has introduced a new coefficient of correlation whi...

0 Sky Cao, et al. ∙

∙ 09/17/2019

Sparse Canonical Correlation Analysis via Concave Minimization

A new approach to the sparse Canonical Correlation Analysis (sCCA)is pro...

1 Omid S. Solari, et al. ∙

∙ 07/13/2019

An Assumption-Free Exact Test For Fixed-Design Linear Models With Exchangeable Errors

We propose the cyclic permutation test (CPT) to test general linear hypo...

0 Lihua Lei, et al. ∙

∙ 11/25/2018

Generalized R^2 Measures for a Mixture of Bivariate Linear Dependences

Motivated by the pressing needs for capturing complex but interperetable...

0 Jingyi Jessica Li, et al. ∙

∙ 10/02/2018

Hierarchical community detection by recursive bi-partitioning

The problem of community detection in networks is usually formulated as ...

8 Tianxi Li, et al. ∙

∙ 08/18/2017

Two provably consistent divide and conquer clustering algorithms for large networks

In this article, we advance divide-and-conquer strategies for solving th...

0 Soumendu Sundar Mukherjee, et al. ∙

∙ 08/07/2015

Spectral Clustering and Block Models: A Review And A New Algorithm

We focus on spectral clustering of unlabeled graphs and review some resu...

0 Sharmodeep Bhattacharyya, et al. ∙

∙ 01/16/2014

Community Detection in Networks using Graph Distance

The study of networks has received increased attention recently not only...

0 Sharmodeep Bhattacharyya, et al. ∙

∙ 11/12/2013

Hypothesis Testing for Automated Community Detection in Networks

Community detection in networks is a key exploratory tool with applicati...

0 Peter J. Bickel, et al. ∙

∙ 10/05/2013

Role of normalization in spectral clustering for stochastic blockmodels

Spectral clustering is a technique that clusters elements using the top ...

0 Purnamrita Sarkar, et al. ∙

∙ 07/10/2012

Pseudo-likelihood methods for community detection in large sparse networks

Many algorithms have been proposed for fitting network models with commu...

0 Arash A. Amini, et al. ∙

∙ 06/20/2011

Large Vector Auto Regressions

One popular approach for nonstructural economic and financial forecastin...

0 Song Song, et al. ∙

∙ 05/29/2007

Efficient independent component analysis

Independent component analysis (ICA) has been widely used for blind sour...

0 Aiyou Chen, et al. ∙

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