Tomer Koren

1.2k total citations
30 papers, 309 citations indexed

About

Tomer Koren is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Tomer Koren has authored 30 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 21 papers in Management Science and Operations Research and 10 papers in Computer Networks and Communications. Recurrent topics in Tomer Koren's work include Advanced Bandit Algorithms Research (20 papers), Machine Learning and Algorithms (13 papers) and Optimization and Search Problems (8 papers). Tomer Koren is often cited by papers focused on Advanced Bandit Algorithms Research (20 papers), Machine Learning and Algorithms (13 papers) and Optimization and Search Problems (8 papers). Tomer Koren collaborates with scholars based in Israel, United States and United Kingdom. Tomer Koren's co-authors include Elad Hazan, Oren Somekh, Zohar Karnin, Ofer Dekel, Nati Srebro, Aharon Ben‐Tal, Yishay Mansour, Yuval Peres, Jian Ding and Alon Cohen and has published in prestigious journals such as Operations Research, Mathematical Programming and SIAM Journal on Computing.

In The Last Decade

Tomer Koren

29 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tomer Koren Israel	9	202	167	60	42	37	30	309
Aaron Sidford United States	8	146 0.7×	29 0.2×	56 0.9×	52 1.2×	24 0.6×	20	245
Haihao Lu United States	7	85 0.4×	48 0.3×	38 0.6×	118 2.8×	11 0.3×	23	243
Victor Bittorf United States	4	145 0.7×	27 0.2×	58 1.0×	70 1.7×	63 1.7×	5	254
Vianney Perchet France	9	102 0.5×	142 0.9×	53 0.9×	7 0.2×	8 0.2×	28	220
Ankan Saha United States	5	140 0.7×	23 0.1×	23 0.4×	49 1.2×	32 0.9×	14	216
Pham Dinh Tao France	5	69 0.3×	35 0.2×	34 0.6×	73 1.7×	65 1.8×	6	312
Marco Molinaro United States	10	57 0.3×	29 0.2×	96 1.6×	25 0.6×	11 0.3×	33	234
Jing-Cheng Shi China	6	112 0.6×	74 0.4×	39 0.7×	14 0.3×	29 0.8×	10	232
Kush Bhatia United States	6	279 1.4×	26 0.2×	15 0.3×	24 0.6×	78 2.1×	12	341
Justin Ward United Kingdom	12	142 0.7×	43 0.3×	151 2.5×	16 0.4×	20 0.5×	26	366

Countries citing papers authored by Tomer Koren

Since Specialization

Citations

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

Fields of papers citing papers by Tomer Koren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomer Koren

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

All Works

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20 of 20 papers shown

Feldman, Vitaly, et al.. (2021). Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry. International Conference on Machine Learning. 393–403. 3 indexed citations

Koren, Tomer, et al.. (2021). Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √T Regret. International Conference on Machine Learning. 1304–1313. 1 indexed citations

Koren, Tomer, et al.. (2021). Adversarial Dueling Bandits. International Conference on Machine Learning. 9235–9244. 1 indexed citations

Cohen, Alon, Tomer Koren, & Yishay Mansour. (2019). Learning Linear-Quadratic Regulators Efficiently with only √ T Regret. International Conference on Machine Learning. 1300–1309. 12 indexed citations

Agarwal, Naman, Rohan Anil, Elad Hazan, Tomer Koren, & Cyril Zhang. (2019). Revisiting the Generalization of Adaptive Gradient Methods. 2 indexed citations

Gupta, Vineet, Tomer Koren, & Yoram Singer. (2018). Shampoo: Preconditioned Stochastic Tensor Optimization. International Conference on Machine Learning. 1842–1850. 3 indexed citations

Koren, Tomer & Roi Livni. (2017). Affine-Invariant Online Optimization and the Low-rank Experts Problem. Neural Information Processing Systems. 30. 4747–4755. 1 indexed citations

Cohen, Alon, Tamir Hazan, & Tomer Koren. (2017). Tight Bounds for Bandit Combinatorial Optimization. arXiv (Cornell University). 629–642. 1 indexed citations

Cohen, Alon, Tamir Hazan, & Tomer Koren. (2016). Online learning with feedback graphs without the graphs. International Conference on Machine Learning. 811–819. 6 indexed citations

10.

Bullins, Brian, Elad Hazan, & Tomer Koren. (2016). The Limits of Learning with Missing Data. Neural Information Processing Systems. 29. 3495–3503. 5 indexed citations

11.

Feldman, Michal, Tomer Koren, Roi Livni, Yishay Mansour, & Aviv Zohar. (2016). Online pricing with strategic and patient buyers. 29. 3871–3879. 4 indexed citations

12.

Koren, Tomer & Kfir Y. Levy. (2015). Fast rates for exp-concave empirical risk minimization. Neural Information Processing Systems. 28. 1477–1485. 7 indexed citations

13.

Dekel, Ofer, Ronen Eldan, & Tomer Koren. (2015). Bandit smooth convex optimization: improving the bias-variance tradeoff. Neural Information Processing Systems. 28. 2926–2934. 5 indexed citations

14.

Hazan, Elad & Tomer Koren. (2015). A linear-time algorithm for trust region problems. Mathematical Programming. 158(1-2). 363–381. 29 indexed citations

15.

Feige, Uriel, Tomer Koren, & Moshe Tennenholtz. (2014). Chasing Ghosts: Competing with Stateful Policies. 100–109. 2 indexed citations

16.

Koren, Tomer. (2013). Open Problem: Fast Stochastic Exp-Concave Optimization. Conference on Learning Theory. 1073–1075. 3 indexed citations

17.

Karnin, Zohar, Tomer Koren, & Oren Somekh. (2013). Almost Optimal Exploration in Multi-Armed Bandits. International Conference on Machine Learning. 1238–1246. 102 indexed citations

18.

Koren, Tomer, Ronen Talmon, & Israel Cohen. (2012). Supervised system identification based on local PCA models. 541–544. 3 indexed citations

19.

Hazan, Elad & Tomer Koren. (2012). Linear Regression with Limited Observation. arXiv (Cornell University). 1865–1872. 12 indexed citations

20.

Hazan, Elad, Tomer Koren, & Nati Srebro. (2011). Beating SGD: Learning SVMs in Sublinear Time. Neural Information Processing Systems. 24. 1233–1241. 22 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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