We stand with Ukraine

We stand with Ukraine

Arash A. Amini

Orcid: 0000-0002-2808-8310

Affiliations:

University of California, Los Angeles, Department of Statistics, USA

According to our database¹, Arash A. Amini authored at least 35 papers between 2008 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Online presence:

On csauthors.net:

Bibliography

2023

Performance evaluation of automotive dealerships using grouped mixture of regressions.

[BibT_eX]

[DOI]

,

Ratna Babu Chinnam

,

Expert Syst. Appl., 2023

Simplifying GNN Performance with Low Rank Kernel Models.

[BibT_eX]

[DOI]

,

CoRR, 2023

Nested stochastic block model for simultaneously clustering networks and nodes.

[BibT_eX]

[DOI]

Nathaniel Josephs

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,

,

CoRR, 2023

Statistical Guarantees for Consensus Clustering.

[BibT_eX]

[DOI]

,

,

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

LapGM: A Multisequence MR Bias Correction and Normalization Model.

[BibT_eX]

[DOI]

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,

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Atchar Sudhyadhom

CoRR, 2022

A non-graphical representation of conditional independence via the neighbourhood lattice.

[BibT_eX]

[DOI]

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,

CoRR, 2022

Bayesian community detection for networks with covariates.

[BibT_eX]

[DOI]

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,

Nathaniel Josephs

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CoRR, 2022

Distributed Learning of Generalized Linear Causal Networks.

[BibT_eX]

[DOI]

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,

CoRR, 2022

Target alignment in truncated kernel ridge regression.

[BibT_eX]

[DOI]

,

Richard Baumgartner

,

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On perfectness in Gaussian graphical models.

[BibT_eX]

[DOI]

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,

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Optimizing Regularized Cholesky Score for Order-Based Learning of Bayesian Networks.

[BibT_eX]

[DOI]

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,

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Label consistency in overfitted generalized $k$-means.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Generalized Autoregressive Linear Models for Discrete High-Dimensional Data.

[BibT_eX]

[DOI]

,

Mojtaba Sahraee-Ardakan

,

,

,

Alyson K. Fletcher

IEEE J. Sel. Areas Inf. Theory, 2020

Optimal Bipartite Network Clustering.

[BibT_eX]

[DOI]

,

J. Mach. Learn. Res., 2020

Adjusted chi-square test for degree-corrected block models.

[BibT_eX]

[DOI]

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CoRR, 2020

The Potts-Ising model for discrete multivariate data.

[BibT_eX]

[DOI]

Zahra S. Razaee

,

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Analysis of spectral clustering algorithms for community detection: the general bipartite setting.

[BibT_eX]

[DOI]

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J. Mach. Learn. Res., 2019

Matched Bipartite Block Model with Covariates.

[BibT_eX]

[DOI]

Zahra S. Razaee

,

,

Jingyi Jessica Li

J. Mach. Learn. Res., 2019

Concentration of kernel matrices with application to kernel spectral clustering.

[BibT_eX]

[DOI]

,

Zahra S. Razaee

CoRR, 2019

Spectrally-truncated kernel ridge regression and its free lunch.

[BibT_eX]

[DOI]

CoRR, 2019

Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks.

[BibT_eX]

[DOI]

,

,

CoRR, 2019

High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence.

[BibT_eX]

[DOI]

,

Mojtaba Sahraee-Ardakan

,

,

,

Alyson K. Fletcher

CoRR, 2019

Exact slice sampler for Hierarchical Dirichlet Processes.

[BibT_eX]

[DOI]

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,

,

Zahra S. Razaee

CoRR, 2019

Globally optimal score-based learning of directed acyclic graphs in high-dimensions.

[BibT_eX]

[DOI]

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,

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sparse Multivariate Bernoulli Processes in High Dimensions.

[BibT_eX]

[DOI]

,

Mojtaba Sahraee-Ardakan

,

,

,

Alyson K. Fletcher

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2017

Partial correlation graphs and the neighborhood lattice.

[BibT_eX]

[DOI]

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CoRR, 2017

Variable Importance Using Decision Trees.

[BibT_eX]

[DOI]

S. Jalil Kazemitabar

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,

,

Ameet Talwalkar

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015

Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression.

[BibT_eX]

[DOI]

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CoRR, 2015

2014

On semidefinite relaxations for the block model.

[BibT_eX]

[DOI]

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Elizaveta Levina

CoRR, 2014

2013

Sequential Detection of Multiple Change Points in Networks: A Graphical Model Approach.

[BibT_eX]

[DOI]

,

XuanLong Nguyen

IEEE Trans. Inf. Theory, 2013

Bayesian inference as iterated random functions with applications to sequential inference in graphical models.

[BibT_eX]

[DOI]

,

XuanLong Nguyen

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Approximation properties of certain operator-induced norms on Hilbert spaces.

[BibT_eX]

[DOI]

,

Martin J. Wainwright

J. Approx. Theory, 2012

Fitting community models to large sparse networks

[BibT_eX]

[DOI]

,

,

Peter J. Bickel

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Elizaveta Levina

CoRR, 2012

Message-passing sequential detection of multiple change points in networks.

[BibT_eX]

[DOI]

XuanLong Nguyen

,

,

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2008

High-dimensional analysis of semidefinite relaxations for sparse principal components.

[BibT_eX]

[DOI]

,

Martin J. Wainwright

Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

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