default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDArash A. Amini
Person information
- affiliation: University of California, Los Angeles, Department of Statistics, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j9]Qiaoling Ye
, Arash A. Amini, Qing Zhou:
Federated Learning of Generalized Linear Causal Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6623-6636 (2024)- [i26]Chung Kyong Nguen, Oscar Hernan Madrid Padilla, Arash A. Amini:
Network two-sample test for block models. CoRR abs/2406.06014 (2024) - [i25]Shuang Wu, Arash A. Amini:
Graph Neural Thompson Sampling. CoRR abs/2406.10686 (2024) - [i24]Luciano Vinas, Arash A. Amini:
Sharp Bounds for Poly-GNNs and the Effect of Graph Noise. CoRR abs/2407.19567 (2024) - 2023
- [j8]Haidar Almohri, Ratna Babu Chinnam, Arash A. Amini:
Performance evaluation of automotive dealerships using grouped mixture of regressions. Expert Syst. Appl. 213(Part): 119266 (2023) - [c11]Zhixin Zhou, Gautam Dudeja, Arash A. Amini:
Statistical Guarantees for Consensus Clustering. ICLR 2023 - [i23]Nathaniel Josephs, Arash A. Amini, Marina S. Paez, Lizhen Lin:
Nested stochastic block model for simultaneously clustering networks and nodes. CoRR abs/2307.09210 (2023) - [i22]Luciano Vinas, Arash A. Amini:
Simplifying GNN Performance with Low Rank Kernel Models. CoRR abs/2310.05250 (2023) - 2022
- [c10]Arash A. Amini, Bryon Aragam, Qing Zhou:
On perfectness in Gaussian graphical models. AISTATS 2022: 7505-7517 - [c9]Arash A. Amini, Richard Baumgartner, Dai Feng:
Target alignment in truncated kernel ridge regression. NeurIPS 2022 - [i21]Qiaoling Ye, Arash A. Amini, Qing Zhou:
Distributed Learning of Generalized Linear Causal Networks. CoRR abs/2201.09194 (2022) - [i20]Luyi Shen, Arash A. Amini, Nathaniel Josephs, Lizhen Lin:
Bayesian community detection for networks with covariates. CoRR abs/2203.02090 (2022) - [i19]Arash A. Amini, Bryon Aragam, Qing Zhou:
A non-graphical representation of conditional independence via the neighbourhood lattice. CoRR abs/2206.05829 (2022) - [i18]Arash A. Amini, Richard Baumgartner, Dai Feng:
Target alignment in truncated kernel ridge regression. CoRR abs/2206.14255 (2022) - [i17]Luciano Vinas, Arash A. Amini, Jade Fischer, Atchar Sudhyadhom:
LapGM: A Multisequence MR Bias Correction and Normalization Model. CoRR abs/2209.13619 (2022) - 2021
- [j7]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): 3555-3572 (2021) - [c8]Linfan Zhang, Arash A. Amini:
Label consistency in overfitted generalized $k$-means. NeurIPS 2021: 7965-7977 - 2020
- [j6]Zhixin Zhou, Arash A. Amini:
Optimal Bipartite Network Clustering. J. Mach. Learn. Res. 21: 40:1-40:68 (2020) - [j5]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): 884-896 (2020) - [c7]Zahra S. Razaee, Arash A. Amini:
The Potts-Ising model for discrete multivariate data. NeurIPS 2020 - [i16]Linfan Zhang, Arash A. Amini:
Adjusted chi-square test for degree-corrected block models. CoRR abs/2012.15047 (2020)
2010 – 2019
- 2019
- [j4]Zahra S. Razaee, Arash A. Amini, Jingyi Jessica Li:
Matched Bipartite Block Model with Covariates. J. Mach. Learn. Res. 20: 34:1-34:44 (2019) - [j3]Zhixin Zhou, Arash A. Amini:
Analysis of spectral clustering algorithms for community detection: the general bipartite setting. J. Mach. Learn. Res. 20: 47:1-47:47 (2019) - [c6]Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher:
Sparse Multivariate Bernoulli Processes in High Dimensions. AISTATS 2019: 457-466 - [c5]Bryon Aragam, Arash A. Amini, Qing Zhou:
Globally optimal score-based learning of directed acyclic graphs in high-dimensions. NeurIPS 2019: 4452-4464 - [i15]Arash A. Amini, Marina S. Paez, Lizhen Lin, Zahra S. Razaee:
Exact slice sampler for Hierarchical Dirichlet Processes. CoRR abs/1903.08829 (2019) - [i14]Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher:
High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence. CoRR abs/1903.09631 (2019) - [i13]Marina S. Paez, Arash A. Amini, Lizhen Lin:
Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks. CoRR abs/1904.05330 (2019) - [i12]Qiaoling Ye, Arash A. Amini, Qing Zhou:
Optimizing regularized Cholesky score for order-based learning of Bayesian networks. CoRR abs/1904.12360 (2019) - [i11]Arash A. Amini:
Spectrally-truncated kernel ridge regression and its free lunch. CoRR abs/1906.06276 (2019) - [i10]Arash A. Amini, Bryon Aragam, Qing Zhou:
On perfectness in Gaussian graphical models. CoRR abs/1909.01978 (2019) - [i9]Arash A. Amini, Zahra S. Razaee:
Concentration of kernel matrices with application to kernel spectral clustering. CoRR abs/1909.03347 (2019) - 2018
- [i8]Zhixin Zhou, Arash A. Amini:
Analysis of spectral clustering algorithms for community detection: the general bipartite setting. CoRR abs/1803.04547 (2018) - [i7]Zhixin Zhou, Arash A. Amini:
Optimal Bipartite Network Clustering. CoRR abs/1803.06031 (2018) - 2017
- [c4]S. Jalil Kazemitabar, Arash A. Amini, Adam E. Bloniarz, Ameet Talwalkar:
Variable Importance Using Decision Trees. NIPS 2017: 426-435 - [i6]Zahra S. Razaee, Arash A. Amini, Jingyi Jessica Li:
Matched bipartite block model with covariates. CoRR abs/1703.04943 (2017) - [i5]Arash A. Amini, Bryon Aragam, Qing Zhou:
Partial correlation graphs and the neighborhood lattice. CoRR abs/1711.00991 (2017) - 2015
- [i4]Bryon Aragam, Arash A. Amini, Qing Zhou:
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression. CoRR abs/1511.08963 (2015) - 2014
- [i3]Arash A. Amini, Elizaveta Levina:
On semidefinite relaxations for the block model. CoRR abs/1406.5647 (2014) - 2013
- [j2]Arash A. Amini, XuanLong Nguyen:
Sequential Detection of Multiple Change Points in Networks: A Graphical Model Approach. IEEE Trans. Inf. Theory 59(9): 5824-5841 (2013) - [c3]Arash A. Amini, XuanLong Nguyen:
Bayesian inference as iterated random functions with applications to sequential inference in graphical models. NIPS 2013: 2922-2930 - 2012
- [j1]Arash A. Amini, Martin J. Wainwright:
Approximation properties of certain operator-induced norms on Hilbert spaces. J. Approx. Theory 164(2): 320-345 (2012) - [c2]XuanLong Nguyen, Arash A. Amini, Ram Rajagopal:
Message-passing sequential detection of multiple change points in networks. ISIT 2012: 2007-2011 - [i2]Aiyou Chen, Arash A. Amini, Peter J. Bickel, Elizaveta Levina:
Fitting community models to large sparse networks. CoRR abs/1207.2340 (2012)
2000 – 2009
- 2008
- [c1]Arash A. Amini, Martin J. Wainwright:
High-dimensional analysis of semidefinite relaxations for sparse principal components. ISIT 2008: 2454-2458 - [i1]Arash A. Amini, Martin J. Wainwright:
High-dimensional analysis of semidefinite relaxations for sparse principal components. CoRR abs/0803.4026 (2008)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-04 20:56 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
