Arash A. Amini

51 papers A* 5A 2B 2Journal 39Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Community-Size Biases in Statistical Inference of Communities in Temporal Networks. CoRR Theodore Y. Faust, Arash A. Amini, Mason A. Porter
2026	J	`jnl`	Laplacian Kernelized Bandit. CoRR Shuang Wu, Arash A. Amini
2025	J	`jnl`	Step and Smooth Decompositions as Topological Clustering. J. Mach. Learn. Res. Luciano Vinas, Arash A. Amini
2024	J	`jnl`	Federated Learning of Generalized Linear Causal Networks. IEEE Trans. Pattern Anal. Mach. Intell. Qiaoling Ye, Arash A. Amini, Qing Zhou
2024	J	`jnl`	Graph Neural Thompson Sampling. RLJ Shuang Wu, Arash A. Amini
2024	J	`jnl`	Graph Neural Thompson Sampling. CoRR Shuang Wu, Arash A. Amini
2024	J	`jnl`	Network two-sample test for block models. CoRR Chung Kyong Nguen, Oscar Hernan Madrid Padilla, Arash A. Amini
2024	J	`jnl`	Sharp Bounds for Poly-GNNs and the Effect of Graph Noise. CoRR Luciano Vinas, Arash A. Amini
2024	—	`conf`	Simple GNNs With Low Rank Non-Parametric Aggregators. LoG Luciano Vinas, Arash A. Amini
2023	J	`jnl`	Nested stochastic block model for simultaneously clustering networks and nodes. CoRR Nathaniel Josephs, Arash A. Amini, Marina S. Paez, Lizhen Lin
2023	J	`jnl`	Performance evaluation of automotive dealerships using grouped mixture of regressions. Expert Syst. Appl. Haidar Almohri, Ratna Babu Chinnam, Arash A. Amini
2023	J	`jnl`	Simplifying GNN Performance with Low Rank Kernel Models. CoRR Luciano Vinas, Arash A. Amini
2023	A*	`conf`	Statistical Guarantees for Consensus Clustering. ICLR Zhixin Zhou, Gautam Dudeja, Arash A. Amini
2022	J	`jnl`	A non-graphical representation of conditional independence via the neighbourhood lattice. CoRR Arash A. Amini, Bryon Aragam, Qing Zhou
2022	J	`jnl`	Bayesian community detection for networks with covariates. CoRR Luyi Shen, Arash A. Amini, Nathaniel Josephs, Lizhen Lin
2022	J	`jnl`	Distributed Learning of Generalized Linear Causal Networks. CoRR Qiaoling Ye, Arash A. Amini, Qing Zhou
2022	J	`jnl`	LapGM: A Multisequence MR Bias Correction and Normalization Model. CoRR Luciano Vinas, Arash A. Amini, Jade Fischer, Atchar Sudhyadhom
2022	A	`conf`	On perfectness in Gaussian graphical models. AISTATS Arash A. Amini, Bryon Aragam, Qing Zhou
2022	A*	`conf`	Target alignment in truncated kernel ridge regression. NeurIPS Arash A. Amini, Richard Baumgartner, Dai Feng
2022	J	`jnl`	Target alignment in truncated kernel ridge regression. CoRR Arash A. Amini, Richard Baumgartner, Dai Feng
2021	A*	`conf`	Label consistency in overfitted generalized $k$-means. NeurIPS Linfan Zhang, Arash A. Amini
2021	J	`jnl`	Optimizing Regularized Cholesky Score for Order-Based Learning of Bayesian Networks. IEEE Trans. Pattern Anal. Mach. Intell. Qiaoling Ye, Arash A. Amini, Qing Zhou
2020	J	`jnl`	Adjusted chi-square test for degree-corrected block models. CoRR Linfan Zhang, Arash A. Amini
2020	J	`jnl`	Generalized Autoregressive Linear Models for Discrete High-Dimensional Data. IEEE J. Sel. Areas Inf. Theory Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
2020	J	`jnl`	Optimal Bipartite Network Clustering. J. Mach. Learn. Res. Zhixin Zhou, Arash A. Amini
2020	A*	`conf`	The Potts-Ising model for discrete multivariate data. NeurIPS Zahra S. Razaee, Arash A. Amini
2019	J	`jnl`	Analysis of spectral clustering algorithms for community detection: the general bipartite setting. J. Mach. Learn. Res. Zhixin Zhou, Arash A. Amini
2019	J	`jnl`	Concentration of kernel matrices with application to kernel spectral clustering. CoRR Arash A. Amini, Zahra S. Razaee
2019	J	`jnl`	Exact slice sampler for Hierarchical Dirichlet Processes. CoRR Arash A. Amini, Marina S. Paez, Lizhen Lin, Zahra S. Razaee
2019	A*	`conf`	Globally optimal score-based learning of directed acyclic graphs in high-dimensions. NeurIPS Bryon Aragam, Arash A. Amini, Qing Zhou
2019	J	`jnl`	Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks. CoRR Marina S. Paez, Arash A. Amini, Lizhen Lin
2019	J	`jnl`	High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence. CoRR Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
2019	J	`jnl`	Matched Bipartite Block Model with Covariates. J. Mach. Learn. Res. Zahra S. Razaee, Arash A. Amini, Jingyi Jessica Li
2019	J	`jnl`	On perfectness in Gaussian graphical models. CoRR Arash A. Amini, Bryon Aragam, Qing Zhou
2019	J	`jnl`	Optimizing regularized Cholesky score for order-based learning of Bayesian networks. CoRR Qiaoling Ye, Arash A. Amini, Qing Zhou
2019	A	`conf`	Sparse Multivariate Bernoulli Processes in High Dimensions. AISTATS Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash A. Amini, Sundeep Rangan, Alyson K. Fletcher
2019	J	`jnl`	Spectrally-truncated kernel ridge regression and its free lunch. CoRR Arash A. Amini
2018	J	`jnl`	Analysis of spectral clustering algorithms for community detection: the general bipartite setting. CoRR Zhixin Zhou, Arash A. Amini
2018	J	`jnl`	Optimal Bipartite Network Clustering. CoRR Zhixin Zhou, Arash A. Amini
2017	J	`jnl`	Matched bipartite block model with covariates. CoRR Zahra S. Razaee, Arash A. Amini, Jingyi Jessica Li
2017	J	`jnl`	Partial correlation graphs and the neighborhood lattice. CoRR Arash A. Amini, Bryon Aragam, Qing Zhou
2017	—	`conf`	Variable Importance Using Decision Trees. NIPS S. Jalil Kazemitabar, Arash A. Amini, Adam E. Bloniarz, Ameet Talwalkar
2015	J	`jnl`	Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression. CoRR Bryon Aragam, Arash A. Amini, Qing Zhou
2014	J	`jnl`	On semidefinite relaxations for the block model. CoRR Arash A. Amini, Elizaveta Levina
2013	—	`conf`	Bayesian inference as iterated random functions with applications to sequential inference in graphical models. NIPS Arash A. Amini, XuanLong Nguyen
2013	J	`jnl`	Sequential Detection of Multiple Change Points in Networks: A Graphical Model Approach. IEEE Trans. Inf. Theory Arash A. Amini, XuanLong Nguyen
2012	J	`jnl`	Approximation properties of certain operator-induced norms on Hilbert spaces. J. Approx. Theory Arash A. Amini, Martin J. Wainwright
2012	J	`jnl`	Fitting community models to large sparse networks CoRR Aiyou Chen, Arash A. Amini, Peter J. Bickel, Elizaveta Levina
2012	B	`conf`	Message-passing sequential detection of multiple change points in networks. ISIT XuanLong Nguyen, Arash A. Amini, Ram Rajagopal
2008	B	`conf`	High-dimensional analysis of semidefinite relaxations for sparse principal components. ISIT Arash A. Amini, Martin J. Wainwright
2008	J	`jnl`	High-dimensional analysis of semidefinite relaxations for sparse principal components. CoRR Arash A. Amini, Martin J. Wainwright