Ilija Bogunovic

668 total citations
19 papers, 182 citations indexed

About

Ilija Bogunovic is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Ilija Bogunovic has authored 19 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 5 papers in Computational Theory and Mathematics. Recurrent topics in Ilija Bogunovic's work include Machine Learning and Algorithms (7 papers), Advanced Bandit Algorithms Research (7 papers) and Gaussian Processes and Bayesian Inference (5 papers). Ilija Bogunovic is often cited by papers focused on Machine Learning and Algorithms (7 papers), Advanced Bandit Algorithms Research (7 papers) and Gaussian Processes and Bayesian Inference (5 papers). Ilija Bogunovic collaborates with scholars based in Switzerland, United States and Singapore. Ilija Bogunovic's co-authors include Volkan Cevher, Jonathan Scarlett, Adish Singla, Gábor Bartók, Amin Karbasi, Luca Baldassarre, Andreas Krause, Andreas Krause, Benjamin Bichsel and Martin Vechev and has published in prestigious journals such as IEEE Journal of Selected Topics in Signal Processing, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Ilija Bogunovic

18 papers receiving 175 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ilija Bogunovic Switzerland 8 100 48 41 34 25 19 182
Zheng Qu Hong Kong 9 135 1.4× 16 0.3× 88 2.1× 24 0.7× 6 0.2× 25 226
Salman Salamatian United States 7 208 2.1× 11 0.2× 17 0.4× 15 0.4× 18 0.7× 15 276
Jiechao Xiong China 9 87 0.9× 6 0.1× 52 1.3× 9 0.3× 12 0.5× 17 212
Carlos Domingo Japan 6 189 1.9× 11 0.2× 6 0.1× 69 2.0× 8 0.3× 12 250
Milan Ružić Denmark 5 74 0.7× 7 0.1× 54 1.3× 42 1.2× 22 0.9× 10 186
Sergio Valcárcel Macua Spain 8 74 0.7× 23 0.5× 18 0.4× 18 0.5× 2 0.1× 17 194
Dongruo Zhou United States 6 150 1.5× 14 0.3× 48 1.2× 7 0.2× 4 0.2× 10 208
Diederick Vermetten Netherlands 9 213 2.1× 44 0.9× 9 0.2× 130 3.8× 5 0.2× 40 285
Dmitry Pechyony United States 9 175 1.8× 18 0.4× 22 0.5× 8 0.2× 5 0.2× 12 222
Xingguo Li China 8 82 0.8× 8 0.2× 11 0.3× 5 0.1× 24 1.0× 31 195

Countries citing papers authored by Ilija Bogunovic

Since Specialization
Citations

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

Fields of papers citing papers by Ilija Bogunovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilija Bogunovic

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

All Works

19 of 19 papers shown
1.
Bichsel, Benjamin, et al.. (2021). DP-Sniper: Black-Box Discovery of Differential Privacy Violations using Classifiers. 391–409. 18 indexed citations
2.
Bogunovic, Ilija, et al.. (2021). Risk-averse Heteroscedastic Bayesian Optimization. arXiv (Cornell University). 34. 2 indexed citations
3.
Bogunovic, Ilija & Andreas Krause. (2021). Misspecified Gaussian Process Bandit Optimization. arXiv (Cornell University). 2 indexed citations
4.
Sessa, Pier Giuseppe, Ilija Bogunovic, Andreas Krause, & Maryam Kamgarpour. (2021). Contextual Games: Multi-Agent Learning with Side Information. arXiv (Cornell University). 33. 21912–21922. 1 indexed citations
5.
Bogunovic, Ilija, et al.. (2020). Distributionally Robust Bayesian Optimization. International Conference on Artificial Intelligence and Statistics. 2174–2184. 1 indexed citations
6.
Sessa, Pier Giuseppe, Ilija Bogunovic, Maryam Kamgarpour, & Andreas Krause. (2020). No-Regret Learning in Unknown Games with Correlated Payoffs. Repository for Publications and Research Data (ETH Zurich). 32. 13602–13611. 4 indexed citations
7.
Scarlett, Jonathan, Ilija Bogunovic, & Volkan Cevher. (2019). Overlapping Multi-Bandit Best Arm Identification. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2544–2548. 7 indexed citations
8.
Bogunovic, Ilija, et al.. (2018). Robust Maximization of Non-Submodular Objectives.. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 890–899. 1 indexed citations
9.
Bogunovic, Ilija, Jonathan Scarlett, Stefanie Jegelka, & Volkan Cevher. (2018). Adversarially Robust Optimization with Gaussian Processes. arXiv (Cornell University). 31. 5760–5770. 9 indexed citations
10.
Scarlett, Jonathan, et al.. (2018). High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. arXiv (Cornell University). 298–307. 10 indexed citations
11.
Mitrović, Slobodan, et al.. (2017). Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 30. 4557–4566. 6 indexed citations
12.
Bogunovic, Ilija, Slobodan Mitrović, Jonathan Scarlett, & Volkan Cevher. (2017). A distributed algorithm for partitioned robust submodular maximization. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3. 1–5. 6 indexed citations
13.
Baldassarre, Luca, et al.. (2016). Learning-Based Compressive Subsampling. IEEE Journal of Selected Topics in Signal Processing. 10(4). 809–822. 48 indexed citations
14.
Bogunovic, Ilija, Jonathan Scarlett, Andreas Krause, & Volkan Cevher. (2016). Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation. arXiv (Cornell University). 29. 1507–1515. 9 indexed citations
15.
Bogunovic, Ilija, et al.. (2016). An Efficient Streaming Algorithm for the Submodular Cover Problem. arXiv (Cornell University). 29. 4493–4501. 4 indexed citations
16.
Bogunovic, Ilija, Jonathan Scarlett, & Volkan Cevher. (2016). Time-Varying Gaussian Process Bandit Optimization. arXiv (Cornell University). 314–323. 12 indexed citations
17.
Bogunovic, Ilija, Volkan Cevher, Jarvis Haupt, & Jonathan Scarlett. (2015). Active learning of self-concordant like multi-index functions. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2189–2193.
18.
Singla, Adish, Ilija Bogunovic, Gábor Bartók, Amin Karbasi, & Andreas Krause. (2014). Near-Optimally Teaching the Crowd to Classify. arXiv (Cornell University). 37 indexed citations
19.
Singla, Adish, Ilija Bogunovic, Gábor Bartók, Amin Karbasi, & Andreas Krause. (2013). On Actively Teaching the Crowd to Classify. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 5 indexed citations

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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