| Neither dust nor black carbon causing apparent albedo decline in Greenland's dry snow zone: Implications for MODIS C5 surface reflectance CM Polashenski, JE Dibb, MG Flanner, JY Chen, ZR Courville, AM Lai, ... Geophysical Research Letters 42 (21), 9319-9327, 2015 | 89 | 2015 |
| Faster fundamental graph algorithms via learned predictions J Chen, S Silwal, A Vakilian, F Zhang International Conference on Machine Learning, 3583-3602, 2022 | 58 | 2022 |
| Impact of MODIS sensor calibration updates on Greenland Ice Sheet surface reflectance and albedo trends KA Casey, CM Polashenski, J Chen, M Tedesco The Cryosphere 11 (4), 1781-1795, 2017 | 56 | 2017 |
| Observations of pronounced Greenland ice sheet firn warming and implications for runoff production C Polashenski, Z Courville, C Benson, A Wagner, J Chen, G Wong, ... Geophysical Research Letters 41 (12), 4238-4246, 2014 | 39 | 2014 |
| Triangle and four cycle counting with predictions in graph streams JY Chen, T Eden, P Indyk, H Lin, S Narayanan, R Rubinfeld, S Silwal, ... arXiv preprint arXiv:2203.09572, 2022 | 29 | 2022 |
| Exponentially improving the complexity of simulating the Weisfeiler-Lehman test with graph neural networks A Aamand, J Chen, P Indyk, S Narayanan, R Rubinfeld, N Schiefer, ... Advances in Neural Information Processing Systems 35, 27333-27346, 2022 | 22 | 2022 |
| Differentially private all-pairs shortest path distances: Improved algorithms and lower bounds JY Chen, B Ghazi, R Kumar, P Manurangsi, S Narayanan, J Nelson, Y Xu Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2023 | 19* | 2023 |
| Evaluating the World Model Implicit in a Generative Model K Vafa, JY Chen, J Kleinberg, S Mullainathan, A Rambachan arXiv preprint arXiv:2406.03689, 2024 | 12 | 2024 |
| Online bipartite matching with predicted degrees JY Chen, P Indyk arXiv e-prints, arXiv: 2110.11439, 2021 | 11* | 2021 |
| Improved frequency estimation algorithms with and without predictions A Aamand, J Chen, H Nguyen, S Silwal, A Vakilian Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Improved space bounds for learning with experts A Aamand, JY Chen, HL Nguyen, S Silwal arXiv preprint arXiv:2303.01453, 2023 | 7 | 2023 |
| Crosstrainer: Practical domain adaptation with loss reweighting J Chen, E Gan, K Rong, S Suri, P Bailis Proceedings of the 3rd International Workshop on Data Management for End-to …, 2019 | 7 | 2019 |
| Worst-case analysis for randomly collected data J Chen, G Valiant, P Valiant Advances in Neural Information Processing Systems 33, 18183-18193, 2020 | 6* | 2020 |
| Space-optimal profile estimation in data streams with applications to symmetric functions JY Chen, P Indyk, DP Woodruff arXiv preprint arXiv:2311.17868, 2023 | 4 | 2023 |
| Data structures for density estimation A Aamand, A Andoni, JY Chen, P Indyk, S Narayanan, S Silwal International Conference on Machine Learning, 1-18, 2023 | 4 | 2023 |
| Constant approximation for individual preference stable clustering A Aamand, J Chen, A Liu, S Silwal, P Sukprasert, A Vakilian, F Zhang Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Learned Interpolation for Better Streaming Quantile Approximation with Worst-Case Guarantees N Schiefer, JY Chen, P Indyk, S Narayanan, S Silwal, T Wagner SIAM Conference on Applied and Computational Discrete Algorithms (ACDA23), 87-97, 2023 | 2 | 2023 |
| Streaming Algorithms for Support-Aware Histograms J Chen, P Indyk, T Wagner International Conference on Machine Learning, 3184-3203, 2022 | 2 | 2022 |
| Statistical-Computational Trade-offs for Density Estimation A Aamand, A Andoni, JY Chen, P Indyk, S Narayanan, S Silwal, H Xu arXiv preprint arXiv:2410.23087, 2024 | | 2024 |
| Differentially Private Gomory-Hu Trees A Aamand, JY Chen, M Dalirrooyfard, S Mitrović, Y Nevmyvaka, S Silwal, ... arXiv preprint arXiv:2408.01798, 2024 | | 2024 |
Sandeep SilwalAssistant Professor, University of Wisconsin-Madison確認したメール アドレス: cs.wisc.edu
