Leena Chennuru Vankadara
University of Tübingen
Department of Computer Science
Maria von Linden Str. 6
72076 Tübingen
Germany
Room: 30-5/A11
Phone: +49 (0)7071 29-70846
E-mail: leena.chennuru-vankadara(at)uni-tuebingen.de
I am a Ph.D. candidate in the Theory of Machine learning group under the supervision of Dr.Debarghya Ghoshdastidar and Prof.Dr.Ulrike von Luxburg.
My primary interests lie in understanding the limits of learning by trying to answer questions such as when is learning possible and when is it not? Such questions are particularly interesting when posed in constrained settings, for instance, constraints on computational complexity or robustness. I believe that understanding such fundamental limits foster the design of provably efficient and reliable Machine learning methods. For a more detailed overview of my work, please visit my Website.
Under Review/Preprints
- Leena Chennuru Vankadara, Siavash Haghiri, Michael Lohaus, Faiz Ul Wahab, Ulrike von Luxburg, Insights into Ordinal Embedding Algorithms: A Systematic Evaluation.Arxiv 2019
Peer-reviewed Publications:
- Leena Chennuru Vankadara*, Luca Rendsburg*, Ulrike von Luxburg, Debarghya Ghoshdastidar, Interpolation and Regularization for Causal Learning. In 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
- Leena Chennuru Vankadara, Philipp Michael Faller, Lenon Minorics, Debarghya Ghoshdastidar, Dominik Janzing, Causal Forecasting: Generalization Bounds for Autoregressive Models. In 37th Conference on Uncertainity in Artificial Intelligence (UAI 2022)
- Mahalakshmi Sabanayagam, Leena Chennuru Vankadara, Debarghya Ghoshdastidar, Graphon based Clustering and Testing of Networks: Algorithms and Theory. In the 10th Conference on International Conference on Learning Representations (ICLR 22)
- Pascal M Esser, Leena Chennuru Vankadara, Debarghya Ghoshdastidar, Learning Theory can (sometimes) Explain Generalization in Graph Neural Networks. In 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
- Leena Chennuru Vankadara, Sebastian Bordt, Ulrike von Luxburg, Debarghya Ghoshdastidar, Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models. In The 24th International Conference on Artificial Intelligence and Statistics. (AISTATS 2021)
Oral presentation. 3% (48) of total submissions.
- Leena Chennuru Vankadara, Debarghya Ghoshdastidar, On the optimality of kernels for high-dimensional clustering. In The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020)
- Leena Chennuru Vankadara, Ulrike von Luxburg, Measures of distortion for machinelearning. In 32nd Conference on Neural Information Processing Systems (NeurIPS 2018)
- Iris Wieser, Sibel Toprak,..., Leena Chennuru Vankadara et.al. A Robotic Home Assistant with Memory Aid Functionality. In Proceedings of the 39th German Conference on Artificial Intelligence (KI 2016)
