Nati Srebro

962 total citations
16 papers, 414 citations indexed

About

Nati Srebro is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nati Srebro has authored 16 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nati Srebro's work include Stochastic Gradient Optimization Techniques (6 papers), Machine Learning and Algorithms (5 papers) and Advanced Bandit Algorithms Research (5 papers). Nati Srebro is often cited by papers focused on Stochastic Gradient Optimization Techniques (6 papers), Machine Learning and Algorithms (5 papers) and Advanced Bandit Algorithms Research (5 papers). Nati Srebro collaborates with scholars based in United States, Israel and United Kingdom. Nati Srebro's co-authors include Ohad Shamir, Tong Zhang, Karthik Sridharan, Andrew Cotter, Ambuj Tewari, Shai Shalev‐Shwartz, Martin Takáč, Peter Richtárik, Elad Hazan and Tomer Koren and has published in prestigious journals such as OpenBU/Boston University Institutional Repository (Boston University), Rare & Special e-Zone (The Hong Kong University of Science and Technology) and arXiv (Cornell University).

In The Last Decade

Nati Srebro

15 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nati Srebro United States	9	299	135	86	85	44	16	414
Zeyuan Allen-Zhu United States	11	301 1.0×	142 1.1×	52 0.6×	74 0.9×	61 1.4×	27	433
Jakub Konečný United Kingdom	6	293 1.0×	110 0.8×	42 0.5×	109 1.3×	23 0.5×	9	389
Niao He United States	9	198 0.7×	106 0.8×	48 0.6×	40 0.5×	42 1.0×	30	383
Xiangru Lian United States	9	390 1.3×	113 0.8×	143 1.7×	166 2.0×	18 0.4×	13	495
Zhouyuan Huo United States	14	375 1.3×	84 0.6×	143 1.7×	50 0.6×	12 0.3×	41	506
Sebastian U. Stich Switzerland	13	477 1.6×	110 0.8×	69 0.8×	197 2.3×	15 0.3×	30	582
Maziar Sanjabi United States	15	291 1.0×	95 0.7×	62 0.7×	275 3.2×	18 0.4×	28	747
Alex Conconi Italy	4	316 1.1×	67 0.5×	55 0.6×	50 0.6×	137 3.1×	4	377
Amir massoud Farahmand Canada	10	177 0.6×	42 0.3×	78 0.9×	26 0.3×	30 0.7×	18	324
Guo-Xun Yuan Taiwan	7	282 0.9×	134 1.0×	205 2.4×	24 0.3×	22 0.5×	9	516

Countries citing papers authored by Nati Srebro

Since Specialization

Citations

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

Fields of papers citing papers by Nati Srebro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nati Srebro

This figure shows the co-authorship network connecting the top 25 collaborators of Nati Srebro. A scholar is included among the top collaborators of Nati Srebro 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 Nati Srebro. Nati Srebro 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

Woodworth, Blake, et al.. (2021). On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent. 468–477. 1 indexed citations

Ohannessian, Mesrob I., et al.. (2020). Fair Learning with Private Demographic Data. International Conference on Machine Learning. 1. 7066–7075. 1 indexed citations

Woodworth, Blake, Kumar Kshitij Patel, Sebastian U. Stich, et al.. (2020). Is Local SGD Better than Minibatch SGD. 1. 10334–10343. 23 indexed citations

Woodworth, Blake, Jialei Wang, Adam Smith, Brendan McMahan, & Nati Srebro. (2018). Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization. OpenBU/Boston University Institutional Repository (Boston University). 31. 8496–8506. 16 indexed citations

Arora, Raman, et al.. (2017). Stochastic Approximation for Canonical Correlation Analysis. arXiv (Cornell University). 30. 4775–4784. 3 indexed citations

Shen, Yanyao, Qixing Huang, Nati Srebro, & Sujay Sanghavi. (2016). Normalized Spectral Map Synchronization. Neural Information Processing Systems. 29. 4925–4933. 24 indexed citations

Shamir, Ohad, Nati Srebro, & Tong Zhang. (2014). Communication-Efficient Distributed Optimization using an Approximate Newton-type Method. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 32(2). 1000–1008. 138 indexed citations

Cotter, Andrew, Shai Shalev‐Shwartz, & Nati Srebro. (2013). Learning Optimally Sparse Support Vector Machines. International Conference on Machine Learning. 266–274. 24 indexed citations

Takáč, Martin, et al.. (2013). Mini-Batch Primal and Dual Methods for SVMs. International Conference on Machine Learning. 1022–1030. 31 indexed citations

10.

Sabato, Sivan, Anand D. Sarwate, & Nati Srebro. (2013). Auditing: Active Learning with Outcome-Dependent Query Costs. arXiv (Cornell University). 26. 512–520. 1 indexed citations

11.

Sabato, Sivan, Nati Srebro, & Naftali Tishby. (2012). Characterizing the Sample Complexity of Large-Margin Learning With Second-Order Statistics. 1 indexed citations

12.

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

13.

Cotter, Andrew, Ohad Shamir, Nati Srebro, & Karthik Sridharan. (2011). Better Mini-Batch Algorithms via Accelerated Gradient Methods. arXiv (Cornell University). 24. 1647–1655. 98 indexed citations

14.

Srebro, Nati, Karthik Sridharan, & Ambuj Tewari. (2011). On the Universality of Online Mirror Descent. arXiv (Cornell University). 24. 2645–2653. 28 indexed citations

15.

Liang, Percy & Nati Srebro. (2010). On the Interaction between Norm and Dimensionality: Multiple Regimes in Learning. International Conference on Machine Learning. 647–654. 3 indexed citations

16.

Liang, Percy & Nati Srebro. (2005). A Dynamic Data Structure for Checking Hyperacyclicity. DSpace@MIT (Massachusetts Institute of Technology).

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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