Mladen Kolar
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
Papers in
-
- Statistical Methods and Inference 24
- Statistical Methods and Bayesian Inference 9
- Advanced Statistical Methods and Models 5
- Co-authors
- Eric P. XingLe SongL. E. BallentineHan LiuMihai AnitescuNathan SrebroLarry WassermanVarun Gupta
- Journals
- Electronic Journal of Statistics (8 papers)Journal of Machine Learning Research (5 papers)Journal of the American Statistical Association (3 papers)Mathematics of Operations Research (2 papers)Mathematical Programming (2 papers)
- Partner nations
- United StatesCroatiaUnited Kingdom
In The Last Decade
Mladen Kolar
58 papers receiving 517 citations
Peers
Comparison fields: 5 of 88
- Statistics and Probability 137
- Computational Mathematics 5
- Artificial Intelligence 236
- Numerical Analysis 25
- Computational Mechanics 89
Countries citing papers authored by Mladen Kolar
This map shows the geographic impact of Mladen Kolar'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 Mladen Kolar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mladen Kolar more than expected).
Fields of papers citing papers by Mladen Kolar
This network shows the impact of papers produced by Mladen Kolar. 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 Mladen Kolar. The network helps show where Mladen Kolar may publish in the future.
Co-authors
The 25 scholars most cited alongside Mladen Kolar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 8 | |
| 2 | Simultaneous Inference for Pairwise Graphical Models with Generalized Score Matching | 2020 | 1 |
| 3 | Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach | 2020 | 2 |
| 4 | High-dimensional Varying Index Coefficient Models via Stein's Identity | 2019 | 3 |
| 5 | Partially linear additive Gaussian graphical models | 2019 | 1 |
| 6 | 2018 | 6 | |
| 7 | 2018 | 0 | |
| 8 | 2018 | 9 | |
| 9 | 2018 | 5 | |
| 10 | 2018 | 10 | |
| 11 | Efficient distributed learning with sparsity | 2017 | 19 |
| 12 | Post-regularization inference for time-varying nonparanormal graphical models | 2017 | 5 |
| 13 | 2016 | 1 | |
| 14 | Inference for High-dimensional Exponential Family Graphical Models | 2016 | 5 |
| 15 | Statistical Inference for Pairwise Graphical Models Using Score Matching | 2016 | 10 |
| 16 | Learning structured densities via infinite dimensional exponential families | 2015 | 2 |
| 17 | Consistent Covariance Selection From Data With Missing Values | 2012 | 6 |
| 18 | Time-Varying Dynamic Bayesian Networks | 2009 | 96 |
| 19 | Sparsistent Learning of Varying-coefficient Models with Structural Changes | 2009 | 29 |
| 20 | 2008 | 12 |
About Mladen Kolar
Mladen Kolar is a scholar working on Statistics and Probability, Computational Mathematics, Artificial Intelligence, Computational Mechanics and Numerical Analysis, having authored 61 papers that have together received 542 indexed citations. Recurring topics across this work include Statistical Methods and Inference (24 papers), Sparse and Compressive Sensing Techniques (15 papers), Bayesian Modeling and Causal Inference (11 papers), Statistical Methods and Bayesian Inference (9 papers), Stochastic Gradient Optimization Techniques (8 papers), Bayesian Methods and Mixture Models (6 papers), Advanced Statistical Methods and Models (5 papers) and Blind Source Separation Techniques (4 papers). The work is most often cited by research in Statistics and Probability (137 citations), Computational Mathematics (5 citations), Artificial Intelligence (236 citations), Numerical Analysis (25 citations) and Computational Mechanics (89 citations). Mladen Kolar has collaborated with scholars based in United States, Croatia and United Kingdom. Frequent co-authors include Eric P. Xing, Le Song, L. E. Ballentine, Han Liu, Mihai Anitescu, Nathan Srebro, Larry Wasserman, Varun Gupta, Oluwasanmi Koyejo and Jan Šnajder. Their work appears in journals such as Electronic Journal of Statistics, Journal of Machine Learning Research, Journal of the American Statistical Association, Mathematics of Operations Research and Mathematical Programming.
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.