| Submodular maximization beyond non-negativity: Guarantees, fast algorithms, and applications C Harshaw, M Feldman, J Ward, A Karbasi International Conference on Machine Learning, 2634-2643, 2019 | 124 | 2019 |
| Greed is good: Near-optimal submodular maximization via greedy optimization M Feldman, C Harshaw, A Karbasi Conference on Learning Theory, 758-784, 2017 | 97 | 2017 |
| Projection-free online optimization with stochastic gradient: From convexity to submodularity L Chen, C Harshaw, H Hassani, A Karbasi International Conference on Machine Learning, 814-823, 2018 | 87 | 2018 |
| Balancing covariates in randomized experiments with the gram–schmidt walk design C Harshaw, F Sävje, DA Spielman, P Zhang Journal of the American Statistical Association, 1-13, 2024 | 74 | 2024 |
| Graphprints: Towards a graph analytic method for network anomaly detection CR Harshaw, RA Bridges, MD Iannacone, JW Reed, JR Goodall Proceedings of the 11th Annual Cyber and Information Security Research …, 2016 | 46 | 2016 |
| Design and analysis of bipartite experiments under a linear exposure-response model C Harshaw, F Sävje, D Eisenstat, V Mirrokni, J Pouget-Abadie Electronic Journal of Statistics 17 (1), 464-518, 2023 | 40 | 2023 |
| Clip-ogd: An experimental design for adaptive neyman allocation in sequential experiments J Dai, P Gradu, C Harshaw Advances in Neural Information Processing Systems 36, 32235-32269, 2023 | 18 | 2023 |
| A design-based riesz representation framework for randomized experiments C Harshaw, F Sävje, Y Wang arXiv preprint arXiv:2210.08698, 2022 | 15 | 2022 |
| How do you want your greedy: Simultaneous or repeated? M Feldman, C Harshaw, A Karbasi Journal of Machine Learning Research 24 (72), 1-87, 2023 | 14* | 2023 |
| Optimized variance estimation under interference and complex experimental designs C Harshaw, JA Middleton, F Sävje arXiv preprint arXiv:2112.01709, 2021 | 11 | 2021 |
| The power of subsampling in submodular maximization C Harshaw, E Kazemi, M Feldman, A Karbasi Mathematics of Operations Research 47 (2), 1365-1393, 2022 | 6 | 2022 |
| The Conflict Graph Design: Estimating Causal Effects under Arbitrary Neighborhood Interference V Kandiros, C Pipis, C Daskalakis, C Harshaw arXiv preprint arXiv:2411.10908, 2024 | | 2024 |
| Algorithmic Advances for the Design and Analysis of Randomized Experiments C Harshaw Yale University, 2021 | | 2021 |
Amin KarbasiRobust Intelligence, Yale University (on leave)Bestätigte E-Mail-Adresse bei yale.edu
