Michael Collins

2.9k citations

27 papers · 1.7k indexed · 1 hit paper · h-index 15

Impact in

Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Machine Learning and Algorithms
- Speech and dialogue systems
- Bayesian Modeling and Causal Inference
- Neural Networks and Applications
Computational Mathematics top 5%

Papers in

Computational Mathematics 1
Artificial Intelligence 22
- Natural Language Processing Techniques 10
- Topic Modeling 9
- Machine Learning and Algorithms 7
- Bayesian Modeling and Causal Inference 4
- Algorithms and Data Compression 4
- Evolutionary Algorithms and Applications 3

Co-authors: Robert E. Schapire Nigel Duffy Yoram Singer Luke Zettlemoyer Sanjoy Dasgupta Xavier Carreras Amir Globerson Terry Koo
Journals: Journal of Machine Learning Research (2 papers)Computational Linguistics (1 paper)Genetic Programming and Evolvable Machines (1 paper)Transactions of the Association for Computational Linguistics (1 paper)Journal of Computer and System Sciences (1 paper)
Partner nations: United States Germany Israel

In The Last Decade

Michael Collins

23 papers receiving 1.5k citations

Hit Papers

align trajectories log scale

Logistic Regression, AdaBoost and Bregman Distances 2002 · 468 citations

Peers

Countries citing papers authored by Michael Collins

Since Specialization

Citations

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

Fields of papers citing papers by Michael Collins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Michael Collins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Collins Line = papers co-authored together Michael Collins links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Existence of variational solutions to a Cauchy–Dirichlet problem with time-dependent boundary data on metric measure spaces Collectanea mathematica ·Michael Collins	2020	1
2	Reply to Arthur Hills SHILAP Revista de lepidopterología ·Michael Collins	2019	0
3	Existence of parabolic minimizers on metric measure spaces Nonlinear Analysis ·Michael Collins, Andreas Herán	2018	4
4	A Polynomial-Time Dynamic Programming Algorithm for Phrase-Based Decoding with a Fixed Distortion Limit Transactions of the Association for Computational Linguistics ·Yin-Wen Chang, Michael Collins	2017	0
5	Spectral learning of latent-variable PCFGs: algorithms and sample complexity Journal of Machine Learning Research ·Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, Lyle Ungar	2014	13
6	Some Experiments with a Convex IBM Model 2 Peter McL. Shepherd, Michael Collins, Clifford Stein	2014	2
7	A Convex Alternative to IBM Model 2 Peter McL. Shepherd, Michael Collins, Clifford Stein	2013	5
8	Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs Neural Information Processing Systems ·Michael Collins, Shay B. Cohen	2012	21
9	Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation Alexander M. Rush, Michael Collins	2011	37
10	Exact Decoding of Phrase-Based Translation Models through Lagrangian Relaxation DSpace@MIT (Massachusetts Institute of Technology) ·Yin-Wen Chang, Michael Collins	2011	32
11	Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks Journal of Machine Learning Research ·Michael Collins, Amir Globerson, Terry Koo, Xavier Carreras, Peter L. Bartlett	2008	87
12	Online Learning of Relaxed CCG Grammars for Parsing to Logical Form Empirical Methods in Natural Language Processing ·Luke Zettlemoyer, Michael Collins	2007	234
13	Structured Prediction Models via the Matrix-Tree Theorem RECERCAT (Consorci de Serveis Universitaris de Catalunya) ·Terry Koo, Amir Globerson, Xavier Carreras, Michael Collins	2007	65
14	Case-factor diagrams for structured probabilistic modeling Journal of Computer and System Sciences ·David McAllester, Michael Collins, Fernando Pereira	2007	10
15	Finding needles in haystacks is harder with neutrality Michael Collins	2005	18
16	Case-factor diagrams for structured probabilistic modeling Uncertainty in Artificial Intelligence ·David McAllester, Michael Collins, Fernando Pereira	2004	34
17	Exponentiated Gradient Algorithms for Large-margin Structured Classification QUT ePrints (Queensland University of Technology) ·Peter L. Bartlett, Michael Collins, Ben Taskar, David McAllester	2004	45
18	A Generalization of Principal Components Analysis to the Exponential Family Neural Information Processing Systems ·Michael Collins, Sanjoy Dasgupta, Robert E. Schapire	2001	230
19	New ranking algorithms for parsing and tagging Michael Collins, Nigel Duffy	2001	332
20	Review of Beyond grammar: an experience-based theory of language by Rens Bod. CSLI Publications 1998. Computational Linguistics ·Michael Collins	1999	12

About Michael Collins

Michael Collins is a scholar working on Computational Mathematics, Artificial Intelligence, Computational Theory and Mathematics, Applied Mathematics and Software, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers), Machine Learning and Algorithms (7 papers), Bayesian Modeling and Causal Inference (4 papers), Algorithms and Data Compression (4 papers), Advanced Mathematical Modeling in Engineering (3 papers), Nonlinear Partial Differential Equations (3 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computational Mathematics (23 citations), Computer Vision and Pattern Recognition (391 citations), Signal Processing (126 citations) and Statistics and Probability (83 citations). Michael Collins has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Robert E. Schapire, Nigel Duffy, Yoram Singer, Luke Zettlemoyer, Sanjoy Dasgupta, Xavier Carreras, Amir Globerson, Terry Koo, Peter L. Bartlett and David McAllester. Their work appears in journals such as Journal of Machine Learning Research, Computational Linguistics, Genetic Programming and Evolvable Machines, Transactions of the Association for Computational Linguistics and Journal of Computer and System Sciences.

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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