Andre Wibisono

947 total citations
13 papers, 304 citations indexed

About

Andre Wibisono is a scholar working on Artificial Intelligence, Computational Mechanics and Management Science and Operations Research. According to data from OpenAlex, Andre Wibisono has authored 13 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computational Mechanics and 3 papers in Management Science and Operations Research. Recurrent topics in Andre Wibisono's work include Sparse and Compressive Sensing Techniques (4 papers), Stochastic Gradient Optimization Techniques (4 papers) and Advanced Bandit Algorithms Research (3 papers). Andre Wibisono is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Stochastic Gradient Optimization Techniques (4 papers) and Advanced Bandit Algorithms Research (3 papers). Andre Wibisono collaborates with scholars based in United States and China. Andre Wibisono's co-authors include Michael I. Jordan, Martin J. Wainwright, John C. Duchi, Ashia Wilson, Nicholas Boyd, Tamara Broderick, Santosh Vempala, Jacob Abernethy, Varun Jog and Po‐Ling Loh and has published in prestigious journals such as IEEE Transactions on Information Theory, Linear Algebra and its Applications and arXiv (Cornell University).

In The Last Decade

Andre Wibisono

10 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andre Wibisono United States	6	210	84	77	59	36	13	304
Tomer Koren Israel	9	202 1.0×	42 0.5×	167 2.2×	60 1.0×	13 0.4×	30	309
Ashwin Pananjady United States	8	99 0.5×	45 0.5×	31 0.4×	69 1.2×	58 1.6×	28	256
Aaron Sidford United States	8	146 0.7×	52 0.6×	29 0.4×	56 0.9×	30 0.8×	20	245
Alex Conconi Italy	4	316 1.5×	67 0.8×	137 1.8×	50 0.8×	14 0.4×	4	377
Alexander Gasnikov Russia	11	221 1.1×	208 2.5×	49 0.6×	55 0.9×	37 1.0×	98	400
Mariane Pelletier France	9	178 0.8×	24 0.3×	51 0.7×	50 0.8×	162 4.5×	25	296
Yunwen Lei China	11	242 1.2×	111 1.3×	21 0.3×	19 0.3×	19 0.5×	51	355
Aryeh Kontorovich Israel	8	114 0.5×	26 0.3×	22 0.3×	58 1.0×	26 0.7×	34	245
Adityanand Guntuboyina United States	10	105 0.5×	93 1.1×	25 0.3×	24 0.4×	216 6.0×	27	332
Haihao Lu United States	7	85 0.4×	118 1.4×	48 0.6×	38 0.6×	10 0.3×	23	243

Countries citing papers authored by Andre Wibisono

Since Specialization

Citations

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

Fields of papers citing papers by Andre Wibisono

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andre Wibisono

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

All Works

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13 of 13 papers shown

Wibisono, Andre, et al.. (2022). Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings. 470–477.

Abernethy, Jacob, et al.. (2021). Last-Iterate Convergence Rates for Min-Max Optimization: Convergence of Hamiltonian Gradient Descent and Consensus Optimization.. 3–47. 1 indexed citations

Wilson, Ashia, Lester Mackey, & Andre Wibisono. (2019). Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions. Neural Information Processing Systems. 32. 13533–13543.

Vempala, Santosh & Andre Wibisono. (2019). Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices. arXiv (Cornell University). 32. 8094–8106. 6 indexed citations

Wibisono, Andre, Varun Jog, & Po‐Ling Loh. (2017). Information and estimation in Fokker-Planck channels. 2673–2677. 10 indexed citations

Hillar, Christopher J. & Andre Wibisono. (2015). A Hadamard-type lower bound for symmetric diagonally dominant positive matrices. Linear Algebra and its Applications. 472. 135–141.

Duchi, John C., Michael I. Jordan, Martin J. Wainwright, & Andre Wibisono. (2015). Optimal Rates for Zero-Order Convex Optimization: The Power of Two Function Evaluations. IEEE Transactions on Information Theory. 61(5). 2788–2806. 191 indexed citations

Abernethy, Jacob, Peter L. Bartlett, Rafael Frongillo, & Andre Wibisono. (2013). How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal. QUT ePrints (Queensland University of Technology). 26. 2346–2354. 3 indexed citations

Broderick, Tamara, Nicholas Boyd, Andre Wibisono, Ashia Wilson, & Michael I. Jordan. (2013). Streaming Variational Bayes. arXiv (Cornell University). 26. 1727–1735. 65 indexed citations

10.

Wibisono, Andre, Martin J. Wainwright, Michael I. Jordan, & John C. Duchi. (2012). Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods. Neural Information Processing Systems. 25. 1439–1447. 12 indexed citations

11.

Abernethy, Jacob, Rafael Frongillo, & Andre Wibisono. (2012). Minimax option pricing meets black-scholes in the limit. 1029–1040. 7 indexed citations

12.

Wibisono, Andre, Jake Bouvrie, Lorenzo Rosasco, & Tomaso Poggio. (2010). Learning and Invariance in a Family of Hierarchical Kernels. DSpace@MIT (Massachusetts Institute of Technology). 4 indexed citations

13.

Poggio, Tomaso, Lorenzo Rosasco, & Andre Wibisono. (2009). Sufficient Conditions for Uniform Stability of Regularization Algorithms. DSpace@MIT (Massachusetts Institute of Technology). 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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