Learning theory can (sometimes) explain generalisation in graph neural networks P Esser, L Chennuru Vankadara, D Ghoshdastidar Advances in Neural Information Processing Systems 34, 27043-27056, 2021 | 30 | 2021 |
Measures of distortion for machine learning L Chennuru Vankadara, U von Luxburg Advances in Neural Information Processing Systems 31, 2018 | 23 | 2018 |
A robotic home assistant with memory aid functionality I Wieser, S Toprak, A Grenzing, T Hinz, S Auddy, EC Karaoğuz, ... KI 2016: Advances in Artificial Intelligence: 39th Annual German Conference …, 2016 | 15 | 2016 |
On the optimality of kernels for high-dimensional clustering LC Vankadara, D Ghoshdastidar International Conference on Artificial Intelligence and Statistics, 2185-2195, 2020 | 12 | 2020 |
Insights into ordinal embedding algorithms: A systematic evaluation LC Vankadara, S Haghiri, M Lohaus, FU Wahab, U von Luxburg arXiv preprint arXiv:1912.01666, 2019 | 8* | 2019 |
Causal forecasting: generalization bounds for autoregressive models LC Vankadara, PM Faller, M Hardt, L Minorics, D Ghoshdastidar, ... Uncertainty in Artificial Intelligence, 2002-2012, 2022 | 6 | 2022 |
Graphon based clustering and testing of networks: Algorithms and theory M Sabanayagam, LC Vankadara, D Ghoshdastidar arXiv preprint arXiv:2110.02722, 2021 | 6 | 2021 |
A consistent estimator for confounding strength L Rendsburg, LC Vankadara, D Ghoshdastidar, U von Luxburg arXiv preprint arXiv:2211.01903, 2022 | 3 | 2022 |
Recovery guarantees for kernel-based clustering under non-parametric mixture models LC Vankadara, S Bordt, U von Luxburg, D Ghoshdastidar International Conference on Artificial Intelligence and Statistics, 3817-3825, 2021 | 3 | 2021 |
Self-compatibility: Evaluating causal discovery without ground truth PM Faller, LC Vankadara, AA Mastakouri, F Locatello, D Janzing International Conference on Artificial Intelligence and Statistics, 4132-4140, 2024 | 2 | 2024 |
Interpolation and regularization for causal learning L Chennuru Vankadara, L Rendsburg, U Luxburg, D Ghoshdastidar Advances in Neural Information Processing Systems 35, 36627-36639, 2022 | 2 | 2022 |
Reinterpreting causal discovery as the task of predicting unobserved joint statistics D Janzing, PM Faller, LC Vankadara arXiv preprint arXiv:2305.06894, 2023 | 1 | 2023 |
Explaining Kernel Clustering via Decision Trees M Fleissner, LC Vankadara, D Ghoshdastidar arXiv preprint arXiv:2402.09881, 2024 | | 2024 |