| Big bird: Transformers for longer sequences M Zaheer, G Guruganesh, KA Dubey, J Ainslie, C Alberti, S Ontanon, ... Advances in neural information processing systems 33, 17283-17297, 2020 | 973 | 2020 |
| Chasing convex bodies with linear competitive ratio CJ Argue, A Gupta, Z Tang, G Guruganesh Journal of the ACM (JACM) 68 (5), 1-10, 2021 | 42 | 2021 |
| Fully-dynamic bin packing with little repacking B Feldkord, M Feldotto, A Gupta, G Guruganesh, A Kumar, S Riechers, ... 45th International Colloquium on Automata, Languages, and Programming (ICALP …, 2018 | 31 | 2018 |
| Online matroid intersection: Beating half for random arrival GP Guruganesh, S Singla Integer Programming and Combinatorial Optimization: 19th International …, 2017 | 25 | 2017 |
| On the Lovász theta function for independent sets in sparse graphs N Bansal, A Gupta, G Guruganesh Proceedings of the forty-seventh annual ACM symposium on Theory of Computing …, 2015 | 24 | 2015 |
| Stochastic online metric matching A Gupta, G Guruganesh, B Peng, D Wajc arXiv preprint arXiv:1904.09284, 2019 | 17 | 2019 |
| Contracts under moral hazard and adverse selection G Guruganesh, J Schneider, JR Wang Proceedings of the 22nd ACM Conference on Economics and Computation, 563-582, 2021 | 15 | 2021 |
| Scalable hierarchical agglomerative clustering N Monath, KA Dubey, G Guruganesh, M Zaheer, A Ahmed, A McCallum, ... Proceedings of the 27th ACM SIGKDD Conference on knowledge discovery & data …, 2021 | 14 | 2021 |
| Convergence analysis of no-regret bidding algorithms in repeated auctions Z Feng, G Guruganesh, C Liaw, A Mehta, A Sethi Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5399-5406, 2021 | 12 | 2021 |
| Dimension-free bounds for chasing convex functions CJ Argue, A Gupta, G Guruganesh Conference on Learning Theory, 219-241, 2020 | 10 | 2020 |
| Fully-dynamic bin packing with limited repacking A Gupta, G Guruganesh, A Kumar, D Wajc arXiv preprint arXiv:1711.02078, 2017 | 10 | 2017 |
| Sticky brownian rounding and its applications to constraint satisfaction problems S Abbasi-Zadeh, N Bansal, G Guruganesh, A Nikolov, R Schwartz, ... ACM Transactions on Algorithms (TALG) 18 (4), 1-50, 2022 | 9 | 2022 |
| Understanding the correlation gap for matchings G Guruganesh, E Lee arXiv preprint arXiv:1710.06339, 2017 | 9 | 2017 |
| Approximation algorithms for aversion k-clustering via local k-median A Gupta, G Guruganesh, M Schmidt 43rd International Colloquium on Automata, Languages, and Programming (ICALP …, 2016 | 8 | 2016 |
| Big bird: Transformers for longer sequences. arXiv 2020 M Zaheer, G Guruganesh, A Dubey, J Ainslie, C Alberti, S Ontanon, ... arXiv preprint arXiv:2007.14062, 2007 | 8 | 2007 |
| Improved Region-Growing and Combinatorial Algorithms for k-Route Cut Problems G Guruganesh, L Sanita, C Swamy Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete …, 2014 | 5 | 2014 |
| Learning to bid in contextual first price auctions A Badanidiyuru, Z Feng, G Guruganesh arXiv preprint arXiv:2109.03173, 2021 | 4 | 2021 |
| Scalable bottom-up hierarchical clustering N Monath, A Dubey, G Guruganesh, M Zaheer, A Ahmed, A McCallum, ... arXiv preprint arXiv:2010.11821, 2020 | 4 | 2020 |
| Contextual recommendations and low-regret cutting-plane algorithms S Gollapudi, G Guruganesh, K Kollias, P Manurangsi, R Leme, ... Advances in Neural Information Processing Systems 34, 22498-22508, 2021 | 2 | 2021 |
| Single-sink fractionally subadditive network design G Guruganesh, J Iglesias, R Ravi, L Sanità arXiv preprint arXiv:1707.01487, 2017 | 2 | 2017 |
