Arash A. Amini

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 36

Top Topics

Kernel Ridge Regression

Community Detection

Top Venues

J. Mach. Learn. Res.

Publications

Chung Kyong Nguen, Oscar Hernan Madrid Padilla, Arash A. Amini
Network two-sample test for block models. CoRR (2024)
Shuang Wu, Arash A. Amini
Graph Neural Thompson Sampling. CoRR (2024)
Luciano Vinas, Arash A. Amini
Sharp Bounds for Poly-GNNs and the Effect of Graph Noise. CoRR (2024)
Luciano Vinas, Arash A. Amini
Simplifying GNN Performance with Low Rank Kernel Models. CoRR (2023)
Haidar Almohri, Ratna Babu Chinnam, Arash A. Amini
Performance evaluation of automotive dealerships using grouped mixture of regressions. Expert Syst. Appl. 213 (Part) (2023)
Nathaniel Josephs, Arash A. Amini, Marina S. Paez, Lizhen Lin
Nested stochastic block model for simultaneously clustering networks and nodes. CoRR (2023)
Zhixin Zhou, Gautam Dudeja, Arash A. Amini
Statistical Guarantees for Consensus Clustering. ICLR (2023)
Arash A. Amini, Bryon Aragam, Qing Zhou
On perfectness in Gaussian graphical models. AISTATS (2022)
Luyi Shen, Arash A. Amini, Nathaniel Josephs, Lizhen Lin
Bayesian community detection for networks with covariates. CoRR (2022)
Arash A. Amini, Richard Baumgartner, Dai Feng
Target alignment in truncated kernel ridge regression. NeurIPS (2022)
Arash A. Amini, Bryon Aragam, Qing Zhou
A non-graphical representation of conditional independence via the neighbourhood lattice. CoRR (2022)
Qiaoling Ye, Arash A. Amini, Qing Zhou
Distributed Learning of Generalized Linear Causal Networks. CoRR (2022)
Arash A. Amini, Richard Baumgartner, Dai Feng
Target alignment in truncated kernel ridge regression. CoRR (2022)
Luciano Vinas, Arash A. Amini, Jade Fischer, Atchar Sudhyadhom
LapGM: A Multisequence MR Bias Correction and Normalization Model. CoRR (2022)
Linfan Zhang, Arash A. Amini
Label consistency in overfitted generalized $k$-means. NeurIPS (2021)
Qiaoling Ye, Arash A. Amini, Qing Zhou
Optimizing Regularized Cholesky Score for Order-Based Learning of Bayesian Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43 (10) (2021)
Zhixin Zhou, Arash A. Amini
Optimal Bipartite Network Clustering. J. Mach. Learn. Res. 21 (2020)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
Generalized Autoregressive Linear Models for Discrete High-Dimensional Data. IEEE J. Sel. Areas Inf. Theory 1 (3) (2020)
Linfan Zhang, Arash A. Amini
Adjusted chi-square test for degree-corrected block models. CoRR (2020)
Zahra S. Razaee, Arash A. Amini
The Potts-Ising model for discrete multivariate data. NeurIPS (2020)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
Sparse Multivariate Bernoulli Processes in High Dimensions. AISTATS (2019)
Marina S. Paez, Arash A. Amini, Lizhen Lin
Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks. CoRR (2019)
Bryon Aragam, Arash A. Amini, Qing Zhou
Globally optimal score-based learning of directed acyclic graphs in high-dimensions. NeurIPS (2019)
Arash A. Amini, Zahra S. Razaee
Concentration of kernel matrices with application to kernel spectral clustering. CoRR (2019)
Qiaoling Ye, Arash A. Amini, Qing Zhou
Optimizing regularized Cholesky score for order-based learning of Bayesian networks. CoRR (2019)
Arash A. Amini, Bryon Aragam, Qing Zhou
On perfectness in Gaussian graphical models. CoRR (2019)
Zahra S. Razaee, Arash A. Amini, Jingyi Jessica Li
Matched Bipartite Block Model with Covariates. J. Mach. Learn. Res. 20 (2019)
Arash A. Amini, Marina S. Paez, Lizhen Lin, Zahra S. Razaee
Exact slice sampler for Hierarchical Dirichlet Processes. CoRR (2019)
Arash A. Amini
Spectrally-truncated kernel ridge regression and its free lunch. CoRR (2019)
Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence. CoRR (2019)
Zhixin Zhou, Arash A. Amini
Analysis of spectral clustering algorithms for community detection: the general bipartite setting. J. Mach. Learn. Res. 20 (2019)
Zhixin Zhou, Arash A. Amini
Optimal Bipartite Network Clustering. CoRR (2018)
Zhixin Zhou, Arash A. Amini
Analysis of spectral clustering algorithms for community detection: the general bipartite setting. CoRR (2018)
Arash A. Amini, Bryon Aragam, Qing Zhou
Partial correlation graphs and the neighborhood lattice. CoRR (2017)
Zahra S. Razaee, Arash A. Amini, Jingyi Jessica Li
Matched bipartite block model with covariates. CoRR (2017)
S. Jalil Kazemitabar, Arash A. Amini, Adam Bloniarz, Ameet S. Talwalkar
Variable Importance Using Decision Trees. NIPS (2017)
Bryon Aragam, Arash A. Amini, Qing Zhou
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression. CoRR (2015)
Arash A. Amini, Elizaveta Levina
On semidefinite relaxations for the block model. CoRR (2014)
Arash A. Amini, XuanLong Nguyen
Sequential Detection of Multiple Change Points in Networks: A Graphical Model Approach. IEEE Trans. Inf. Theory 59 (9) (2013)
Arash A. Amini, XuanLong Nguyen
Bayesian inference as iterated random functions with applications to sequential inference in graphical models. NIPS (2013)
XuanLong Nguyen, Arash A. Amini, Ram Rajagopal
Message-passing sequential detection of multiple change points in networks. ISIT (2012)
Aiyou Chen, Arash A. Amini, Peter J. Bickel, Elizaveta Levina
Fitting community models to large sparse networks CoRR (2012)
Arash A. Amini, Martin J. Wainwright
Approximation properties of certain operator-induced norms on Hilbert spaces. J. Approx. Theory 164 (2) (2012)
Arash A. Amini, Martin J. Wainwright
High-dimensional analysis of semidefinite relaxations for sparse principal components. CoRR (2008)
Arash A. Amini, Martin J. Wainwright
High-dimensional analysis of semidefinite relaxations for sparse principal components. ISIT (2008)