Andre Wibisono
Impact in
- Artificial Intelligence top 5%
- Stochastic Gradient Optimization Techniques
- Gaussian Processes and Bayesian Inference
- Machine Learning and Algorithms
- Bayesian Methods and Mixture Models
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- Advanced Bandit Algorithms Research
Papers in
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- Stochastic Gradient Optimization Techniques 4
- Machine Learning and Algorithms 2
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- Sparse and Compressive Sensing Techniques 4
- Co-authors
- Michael I. Jordan (3 shared papers)John C. Duchi (2 shared papers)Martin J. Wainwright (2 shared papers)Ashia Wilson (2 shared papers)Tamara Broderick (1 shared paper)Nicholas Boyd (1 shared paper)Tomaso Poggio (2 shared papers)Varun Jog (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (1 paper)Linear Algebra and its Applications (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (2 papers)QUT ePrints (Queensland University of Technology) (1 paper)Neural Information Processing Systems (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
Andre Wibisono
10 papers receiving 290 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 210
- Management Science and Operations Research 77
- Statistics and Probability 36
- Computational Mechanics 84
- Numerical Analysis 18
Countries citing papers authored by Andre Wibisono
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
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-authors
The 18 scholars most cited alongside Andre Wibisono, 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 | 2015 | 191 | |
| 2 | 2013 | 65 | |
| 3 | Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods | 2012 | 12 |
| 4 | 2017 | 10 | |
| 5 | 2012 | 7 | |
| 6 | 2019 | 6 | |
| 7 | Sufficient Conditions for Uniform Stability of Regularization Algorithms | 2009 | 5 |
| 8 | Learning and Invariance in a Family of Hierarchical Kernels | 2010 | 4 |
| 9 | How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal | 2013 | 3 |
| 10 | Last-Iterate Convergence Rates for Min-Max Optimization: Convergence of Hamiltonian Gradient Descent and Consensus Optimization. | 2021 | 1 |
| 11 | Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions | 2019 | 0 |
| 12 | 2015 | 0 | |
| 13 | 2022 | 0 |
About Andre Wibisono
Andre Wibisono is a scholar working on Artificial Intelligence, Computational Mechanics, Management Science and Operations Research, Computer Networks and Communications and Economics and Econometrics, having authored 13 papers that have together received 304 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (4 papers), Sparse and Compressive Sensing Techniques (4 papers), Advanced Bandit Algorithms Research (3 papers), Machine Learning and Algorithms (2 papers), Markov Chains and Monte Carlo Methods (2 papers), Optimization and Search Problems (1 paper), Financial Markets and Investment Strategies (1 paper) and graph theory and CDMA systems (1 paper). The work is most often cited by research in Artificial Intelligence (210 citations), Management Science and Operations Research (77 citations), Statistics and Probability (36 citations), Computational Mechanics (84 citations) and Numerical Analysis (18 citations). Andre Wibisono has collaborated with scholars based in United States and China. Frequent co-authors include Michael I. Jordan, John C. Duchi, Martin J. Wainwright, Ashia Wilson, Tamara Broderick, Nicholas Boyd, Tomaso Poggio, Varun Jog, Rafael Frongillo and Lorenzo Rosasco. Their work appears in journals such as IEEE Transactions on Information Theory, Linear Algebra and its Applications, DSpace@MIT (Massachusetts Institute of Technology), QUT ePrints (Queensland University of Technology) and Neural Information Processing Systems.
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.