Alnur Ali

409 total citations
15 papers, 188 citations indexed

About

Alnur Ali is a scholar working on Artificial Intelligence, Computational Mechanics and Information Systems. According to data from OpenAlex, Alnur Ali has authored 15 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computational Mechanics and 3 papers in Information Systems. Recurrent topics in Alnur Ali's work include Sparse and Compressive Sensing Techniques (4 papers), Stochastic Gradient Optimization Techniques (3 papers) and Machine Learning and Algorithms (2 papers). Alnur Ali is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Stochastic Gradient Optimization Techniques (3 papers) and Machine Learning and Algorithms (2 papers). Alnur Ali collaborates with scholars based in United States, China and United Kingdom. Alnur Ali's co-authors include Marina Meilă, Rich Caruana, Ashish Kapoor, J. Zico Kolter, Shasha Xie, Jianfeng Gao, Xiaodong He, Suyash Gupta, Christopher Meek and John C. Duchi and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Computational and Graphical Statistics and The Journal of Supercomputing.

In The Last Decade

Alnur Ali

14 papers receiving 175 citations

Peers

Countries citing papers authored by Alnur Ali

Since Specialization

Citations

This map shows the geographic impact of Alnur Ali's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alnur Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alnur Ali more than expected).

Fields of papers citing papers by Alnur Ali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alnur Ali. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alnur Ali. The network helps show where Alnur Ali may publish in the future.

Co-authorship network of co-authors of Alnur Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Alnur Ali. A scholar is included among the top collaborators of Alnur Ali based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alnur Ali. Alnur Ali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Clustering-based topic modeling for biomedical documents extractive text summarization 2024 ·The Journal of Supercomputing ·(unknown), Alnur Ali, (unknown), (unknown)	1
2	Robust Validation: Confident Predictions Even When Distributions Shift 2023 ·Journal of the American Statistical Association ·(unknown), Suyash Gupta, Alnur Ali, John C. Duchi	15
3	Confidence Bands for a Log-Concave Density 2022 ·Journal of Computational and Graphical Statistics ·Guenther Walther, Alnur Ali, Xinyue Shen, Stephen Boyd	1
4	Minimizing oracle-structured composite functions 2022 ·Optimization and Engineering ·Xinyue Shen, Alnur Ali, Stephen Boyd	1
5	The Implicit Regularization of Stochastic Gradient Flow for Least Squares 2020 ·International Conference on Machine Learning ·Alnur Ali, Edgar Dobriban, Ryan J. Tibshirani	3
6	A Continuous-Time View of Early Stopping for Least Squares Regression 2018 ·arXiv (Cornell University) ·Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani	10
7	A Study on Information Retrieval Methods in Text Mining 2018 ·(unknown), Alnur Ali, (unknown)	2
8	Generalized pseudolikelihood methods for inverse covariance estimation 2017 ·eScholarship (California Digital Library) ·Alnur Ali, Kshitij Khare, Sang‐Yun Oh, Bala Rajaratnam	3
9	Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation 2017 ·arXiv (Cornell University) ·(unknown), Alnur Ali, Ariful Azad, Aydın Buluç, Dmitriy Morozov, Leonid Oliker, Katherine Yelick, Sang‐Yun Oh	4
10	Disciplined convex stochastic programming: a new framework for stochastic optimization 2015 ·Uncertainty in Artificial Intelligence ·Alnur Ali, J. Zico Kolter, Steven Diamond, Stephen Boyd	6
11	Active Learning with Model Selection 2014 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Alnur Ali, Rich Caruana, Ashish Kapoor	16
12	Learning Lexicon Models from Search Logs for Query Expansion 2012 ·Jianfeng Gao, Shasha Xie, Xiaodong He, Alnur Ali	21
13	Experiments with Kemeny ranking: What works when? 2011 ·Mathematical Social Sciences ·Alnur Ali, Marina Meilă	97
14	Preferences in college applications - a nonparametric Bayesian analysis of top-10 rankings 2010 ·Arrow@dit (Dublin Institute of Technology) ·Alnur Ali, Thomas Brendan Murphy, Marina Meilă, Harr Chen	0
15	Predictive Models of Form Filling 2009 ·Alnur Ali, Christopher Meek	8

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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