Arash A. Amini

According to our database, Arash A. Amini authored at least 39 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Federated Learning of Generalized Linear Causal Networks.

Qiaoling Ye, Arash A. Amini, Qing Zhou

IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Sharp Bounds for Poly-GNNs and the Effect of Graph Noise.

Luciano Vinas, Arash A. Amini

CoRR, 2024

Network two-sample test for block models.

Chung Kyong Nguen, Oscar Hernan Madrid Padilla, Arash A. Amini

CoRR, 2024

Graph Neural Thompson Sampling.

Shuang Wu, Arash A. Amini

RLJ, 2024

2023

Performance evaluation of automotive dealerships using grouped mixture of regressions.

Haidar Almohri, Ratna Babu Chinnam, Arash A. Amini

Expert Syst. Appl., 2023

Simplifying GNN Performance with Low Rank Kernel Models.

Luciano Vinas, Arash A. Amini

CoRR, 2023

Nested stochastic block model for simultaneously clustering networks and nodes.

Nathaniel Josephs, Arash A. Amini, Marina S. Paez, Lizhen Lin

CoRR, 2023

Statistical Guarantees for Consensus Clustering.

Zhixin Zhou, Gautam Dudeja, Arash A. Amini

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

LapGM: A Multisequence MR Bias Correction and Normalization Model.

Luciano Vinas, Arash A. Amini, Jade Fischer, Atchar Sudhyadhom

CoRR, 2022

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

Arash A. Amini, Bryon Aragam, Qing Zhou

CoRR, 2022

Bayesian community detection for networks with covariates.

Luyi Shen, Arash A. Amini, Nathaniel Josephs, Lizhen Lin

CoRR, 2022

Distributed Learning of Generalized Linear Causal Networks.

Qiaoling Ye, Arash A. Amini, Qing Zhou

CoRR, 2022

Target alignment in truncated kernel ridge regression.

Arash A. Amini, Richard Baumgartner, Dai Feng

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.

Arash A. Amini, Bryon Aragam, Qing Zhou

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

2021

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

Qiaoling Ye, Arash A. Amini, Qing Zhou

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

Label consistency in overfitted generalized $k$-means.

Linfan Zhang, Arash A. Amini

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.

Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher

IEEE J. Sel. Areas Inf. Theory, 2020

Optimal Bipartite Network Clustering.

Zhixin Zhou, Arash A. Amini

J. Mach. Learn. Res., 2020

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

Linfan Zhang, Arash A. Amini

CoRR, 2020

The Potts-Ising model for discrete multivariate data.

Zahra S. Razaee, Arash A. Amini

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.

Zhixin Zhou, Arash A. Amini

J. Mach. Learn. Res., 2019

Matched Bipartite Block Model with Covariates.

Zahra S. Razaee, Arash A. Amini, Jingyi Jessica Li

J. Mach. Learn. Res., 2019

Concentration of kernel matrices with application to kernel spectral clustering.

Arash A. Amini, Zahra S. Razaee

CoRR, 2019

Spectrally-truncated kernel ridge regression and its free lunch.

Arash A. Amini

CoRR, 2019

Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks.

Marina S. Paez, Arash A. Amini, Lizhen Lin

CoRR, 2019

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

Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher

CoRR, 2019

Exact slice sampler for Hierarchical Dirichlet Processes.

Arash A. Amini, Marina S. Paez, Lizhen Lin, Zahra S. Razaee

CoRR, 2019

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

Bryon Aragam, Arash A. Amini, Qing Zhou

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.

Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher

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

2017

Partial correlation graphs and the neighborhood lattice.

Arash A. Amini, Bryon Aragam, Qing Zhou

CoRR, 2017

Variable Importance Using Decision Trees.

S. Jalil Kazemitabar, Arash A. Amini, Adam E. Bloniarz, 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.

Bryon Aragam, Arash A. Amini, Qing Zhou

CoRR, 2015

2014

On semidefinite relaxations for the block model.

Arash A. Amini, Elizaveta Levina

CoRR, 2014

2013

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

Arash A. Amini, XuanLong Nguyen

IEEE Trans. Inf. Theory, 2013

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

Arash A. Amini, 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.

Arash A. Amini, Martin J. Wainwright

J. Approx. Theory, 2012

Fitting community models to large sparse networks

Aiyou Chen, Arash A. Amini, Peter J. Bickel, Elizaveta Levina

CoRR, 2012

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

XuanLong Nguyen, Arash A. Amini, Ram Rajagopal

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

2008

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

Arash A. Amini, Martin J. Wainwright

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