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Leena Chennuru Vankadara
Leena Chennuru Vankadara
Amazon Research; Previously University of Tübingen and Max Planck Institute, Tübingen
Verified email at uni-tuebingen.de - Homepage
Title
Cited by
Cited by
Year
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
302021
Measures of distortion for machine learning
L Chennuru Vankadara, U von Luxburg
Advances in Neural Information Processing Systems 31, 2018
222018
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
152016
On the optimality of kernels for high-dimensional clustering
LC Vankadara, D Ghoshdastidar
International Conference on Artificial Intelligence and Statistics, 2185-2195, 2020
122020
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
Graphon based clustering and testing of networks: Algorithms and theory
M Sabanayagam, LC Vankadara, D Ghoshdastidar
arXiv preprint arXiv:2110.02722, 2021
62021
Causal forecasting: generalization bounds for autoregressive models
LC Vankadara, PM Faller, M Hardt, L Minorics, D Ghoshdastidar, ...
Uncertainty in Artificial Intelligence, 2002-2012, 2022
52022
A consistent estimator for confounding strength
L Rendsburg, LC Vankadara, D Ghoshdastidar, U von Luxburg
arXiv preprint arXiv:2211.01903, 2022
32022
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
32021
Self-Compatibility: Evaluating Causal Discovery without Ground Truth
PM Faller, LC Vankadara, AA Mastakouri, F Locatello, D Janzing
arXiv preprint arXiv:2307.09552, 2023
22023
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
22022
Explaining Kernel Clustering via Decision Trees
M Fleissner, LC Vankadara, D Ghoshdastidar
arXiv preprint arXiv:2402.09881, 2024
2024
Reinterpreting causal discovery as the task of predicting unobserved joint statistics
D Janzing, PM Faller, LC Vankadara
arXiv preprint arXiv:2305.06894, 2023
2023
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