Ambuj Tewari
- Artificial Intelligence top 0.5%
- Applied Psychology top 0.5%
- General Health Professions top 2%
- Management Science and Operations Research top 1%
- Computational Mechanics top 2%
- Co-authors
- Susan A. MurphyShai Shalev‐ShwartzShawna N. SmithKatie WitkiewitzLinda M. CollinsInbal Nahum‐ShaniBonnie SpringInderjit S. Dhillon
- Topics
- Machine Learning and Algorithms (38 papers)Advanced Bandit Algorithms Research (35 papers)Sparse and Compressive Sensing Techniques (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyPLoS ONE
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Ambuj Tewari
88 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Artificial Intelligence 1.5k
- Applied Psychology 954
- General Health Professions 613
- Management Science and Operations Research 596
- Computational Mechanics 547
Countries citing papers authored by Ambuj Tewari
This map shows the geographic impact of Ambuj Tewari'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 Ambuj Tewari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ambuj Tewari more than expected).
Fields of papers citing papers by Ambuj Tewari
This network shows the impact of papers produced by Ambuj Tewari. 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 Ambuj Tewari. The network helps show where Ambuj Tewari may publish in the future.
Co-authorship network of co-authors of Ambuj Tewari
This figure shows the co-authorship network connecting the top 25 collaborators of Ambuj Tewari. A scholar is included among the top collaborators of Ambuj Tewari 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 Ambuj Tewari. Ambuj Tewari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 37 | |
| 4 | 38 | |
| 5 | 41 | |
| 6 | Active Learning for Non-Parametric Regression Using Purely Random Trees | 6 |
| 7 | Mixture proportion estimation via kernel embedding of distributions | 18 |
| 8 | Convex Calibrated Surrogates for Hierarchical Classification | 4 |
| 9 | Microrandomized trials: An experimental design for developing just-in-time adaptive interventions.breakdown → | 388 |
| 10 | On robust estimation of high dimensional generalized linear models | 3 |
| 11 | Nearest Neighbor based Greedy Coordinate Descent | 22 |
| 12 | Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback | 19 |
| 13 | On NDCG Consistency of Listwise Ranking Methods | 39 |
| 14 | Online Learning: Stochastic, Constrained, and Smoothed Adversaries | 20 |
| 15 | Convex games in banach spaces | 9 |
| 16 | Applications of strong convexity--strong smoothness duality to learning with matrices | 22 |
| 17 | On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization | 107 |
| 18 | High-probability regret bounds for bandit online linear optimization | 32 |
| 19 | On the Generalization Ability of Online Strongly Convex Programming Algorithms | 56 |
| 20 | Optimistic linear programming gives logarithmic regret for irreducible MDPs | 22 |
About Ambuj Tewari
Ambuj Tewari is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Mathematics, having authored 92 papers that have together received 4.1k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (38 papers), Advanced Bandit Algorithms Research (35 papers) and Sparse and Compressive Sensing Techniques (16 papers). The work is most often cited by research in Applied Psychology (954 citations), Management Science and Operations Research (596 citations) and Artificial Intelligence (1.5k citations). Ambuj Tewari has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Susan A. Murphy, Shai Shalev‐Shwartz, Shawna N. Smith, Katie Witkiewitz, Linda M. Collins, Inbal Nahum‐Shani, Bonnie Spring, Inderjit S. Dhillon, Nagarajan Natarajan and Sham M. Kakade. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.
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.