| Bosphorus: Bridging ANF and CNF solvers D Choo, M Soos, KMA Chai, KS Meel 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 468-473, 2019 | 18 | 2019 |
| Massively Parallel Correlation Clustering in Bounded Arboricity Graphs M Cambus, D Choo, H Miikonen, J Uitto 35th International Symposium on Distributed Computing (DISC 2021), 2021 | 16 | 2021 |
| Verification and search algorithms for causal DAGs D Choo, K Shiragur, A Bhattacharyya Conference on Neural Information Processing Systems (NeurIPS), 2022 | 11 | 2022 |
| Subset verification and search algorithms for causal DAGs D Choo, K Shiragur International Conference on Artificial Intelligence and Statistics, 4409-4442, 2023 | 8 | 2023 |
| The Complexity of Sparse Tensor PCA D Choo, T d'Orsi Conference on Neural Information Processing Systems (NeurIPS), 2021 | 8 | 2021 |
| Chemical structure elucidation from mass spectrometry by matching substructures J Lim, J Wong, MX Wong, LHE Tan, HL Chieu, D Choo, NKN Neo Advances in Neural Information Processing Systems - Machine Learning for …, 2018 | 6 | 2018 |
| k-means++: few more steps yield constant approximation D Choo, C Grunau, J Portmann, V Rozhoň Proceedings of the International Conference on Machine Learning (ICML), 7049 …, 2020 | 5 | 2020 |
| Active causal structure learning with advice D Choo, T Gouleakis, A Bhattacharyya International Conference on Machine Learning, 5838-5867, 2023 | 4 | 2023 |
| Envy-free house allocation with minimum subsidy D Choo, YH Ling, W Suksompong, N Teh, J Zhang Operations Research Letters 54, 107103, 2024 | 2 | 2024 |
| Learning bounded-degree polytrees with known skeleton D Choo, JQ Yang, A Bhattacharyya, CL Canonne International Conference on Algorithmic Learning Theory, 402-443, 2024 | 2 | 2024 |
| The sharp power law of local search on expanders S Brânzei, D Choo, N Recker Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2024 | 2 | 2024 |
| Learning and Testing Latent-Tree Ising Models Efficiently V Kandiros, C Daskalakis, Y Dagan, D Choo The Thirty Sixth Annual Conference on Learning Theory, 1666-1729, 2023 | 2 | 2023 |
| Adaptivity complexity for causal graph discovery D Choo, K Shiragur Uncertainty in Artificial Intelligence, 391-402, 2023 | 2 | 2023 |
| Learning and testing latent-tree ising models efficiently D Choo, Y Dagan, C Daskalakis, AV Kandiros arXiv preprint arXiv:2211.13291, 2022 | 2 | 2022 |
| Learning sparse fixed-structure gaussian bayesian networks A Bhattacharyya, D Choo, R Gajjala, S Gayen, Y Wang International Conference on Artificial Intelligence and Statistics, 9400-9429, 2022 | 2 | 2022 |
| New metrics and search algorithms for weighted causal DAGs D Choo, K Shiragur International Conference on Machine Learning, 5868-5903, 2023 | 1 | 2023 |
| Online bipartite matching with imperfect advice D Choo, T Gouleakis, CK Ling, A Bhattacharyya arXiv preprint arXiv:2405.09784, 2024 | | 2024 |
| Causal Discovery under Off-Target Interventions D Choo, K Shiragur, C Uhler arXiv preprint arXiv:2402.08229, 2024 | | 2024 |
| Learning bounded-degree polytrees with samples Q Yang, D Choo, A Bhattacharyya, CL Canonne | | |
