Paul Mineiro

411 total citations
16 papers, 145 citations indexed

About

Paul Mineiro is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Paul Mineiro has authored 16 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Paul Mineiro's work include Machine Learning and Data Classification (5 papers), Graph Theory and Algorithms (3 papers) and Neural Networks and Applications (3 papers). Paul Mineiro is often cited by papers focused on Machine Learning and Data Classification (5 papers), Graph Theory and Algorithms (3 papers) and Neural Networks and Applications (3 papers). Paul Mineiro collaborates with scholars based in United States and United Kingdom. Paul Mineiro's co-authors include Javier R. Movellan, Neoklis Polyzotis, Tyson Condie, Markus Weimer, David Zipser, Ruth Williams, John Langford, Nikos Karampatziakis, Hal Daumé and Matteo Interlandi and has published in prestigious journals such as Proceedings of the IEEE, Neural Computation and Machine Learning.

In The Last Decade

Paul Mineiro

14 papers receiving 133 citations

Peers

Countries citing papers authored by Paul Mineiro

Since Specialization

Citations

This map shows the geographic impact of Paul Mineiro'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 Paul Mineiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Mineiro more than expected).

Fields of papers citing papers by Paul Mineiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Mineiro. 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 Paul Mineiro. The network helps show where Paul Mineiro may publish in the future.

Co-authorship network of co-authors of Paul Mineiro

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Mineiro. A scholar is included among the top collaborators of Paul Mineiro 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 Paul Mineiro. Paul Mineiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	Anytime-valid off-policy Inference for Contextual Bandits 2024 ·(unknown), (unknown), Aaditya Ramdas, Nikos Karampatziakis, Paul Mineiro	0
2	Aligning LLM Agents by Learning Latent Preference from User Edits 2024 ·Ge Gao, Paul Mineiro, Dipendra Misra, (unknown), (unknown)	1
3	Deploying a Steered Query Optimizer in Production at Microsoft 2022 ·Proceedings of the 2022 International Conference on Management of Data ·(unknown), Matteo Interlandi, Paul Mineiro, Shi Qiao, (unknown), (unknown), Marc Friedman, (unknown), Hiren Patel, Alekh Jindal	14
4	Logarithmic Time One-Against-Some 2017 ·International Conference on Machine Learning ·Hal Daumé, Nikos Karampatziakis, John Langford, Paul Mineiro	5
5	Fast Label Embeddings for Extremely Large Output Spaces 2015 ·arXiv (Cornell University) ·Paul Mineiro, Nikos Karampatziakis	2
6	Learning Reductions That Really Work 2015 ·Proceedings of the IEEE ·Alina Beygelzimer, Hal Daumé, John Langford, Paul Mineiro	4
7	Distributed and Scalable PCA in the Cloud 2014 ·Arun Kumar, Vijay K. Narayanan, Nikos Karampatziakis, Paul Mineiro, Markus Weimer	1
8	Machine learning for big data 2013 ·Tyson Condie, Paul Mineiro, Neoklis Polyzotis, Markus Weimer	33
9	Machine learning on Big Data 2013 ·Tyson Condie, Paul Mineiro, Neoklis Polyzotis, Markus Weimer	22
10	A Monte Carlo EM Approach for Partially Observable Diffusion Processes: Theory and Applications to Neural Networks 2002 ·Neural Computation ·Javier R. Movellan, Paul Mineiro, Ruth Williams	14
11	Partially Observable SDE Models for Image Sequence Recognition Tasks 2000 ·Neural Information Processing Systems ·Javier R. Movellan, Paul Mineiro, Ruth Williams	3
12	A diffusion network approach to visual speech recognition. 1999 ·Javier R. Movellan, Paul Mineiro	1
13	Analysis of Direction Selectivity Arising from Recurrent Cortical Interactions 1998 ·Neural Computation ·Paul Mineiro, David Zipser	24
14	Robust Sensor Fusion: Analysis and Application to Audio Visual Speech Recognition 1998 ·Machine Learning ·Javier R. Movellan, Paul Mineiro	12
15	Learning Path Distributions Using Nonequilibrium Diffusion Networks 1997 ·Neural Information Processing Systems ·Paul Mineiro, Javier R. Movellan, Ruth Williams	5
16	Bayesian Robustification for Audio Visual Fusion 1997 ·Neural Information Processing Systems ·Javier R. Movellan, Paul Mineiro	4

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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