Leena Chennuru Vankadara

21 papers A* 6A 2Misc 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	On the Surprising Effectiveness of Large Learning Rates under Standard Width Scaling. CoRR Moritz Haas, Sebastian Bordt, Ulrike von Luxburg, Leena Chennuru Vankadara
2025	J	`jnl`	Training Neural Networks at Any Scale. CoRR Thomas Pethick, Kimon Antonakopoulos, Antonio Silveti-Falls, Leena Chennuru Vankadara, Volkan Cevher
2024	A*	`conf`	Explaining Kernel Clustering via Decision Trees. ICLR Maximilian Fleissner, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
2024	J	`jnl`	Explaining Kernel Clustering via Decision Trees. CoRR Maximilian Fleissner, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
2024	A*	`conf`	On Feature Learning in Structured State Space Models. NeurIPS Leena Chennuru Vankadara, Jin Xu, Moritz Haas, Volkan Cevher
2024	J	`jnl`	μ P CoRR Moritz Haas, Jin Xu, Volkan Cevher, Leena Chennuru Vankadara
2024	A*	`conf`	μP NeurIPS Moritz Haas, Jin Xu, Volkan Cevher, Leena Chennuru Vankadara
2023	J	`jnl`	Insights into Ordinal Embedding Algorithms: A Systematic Evaluation. J. Mach. Learn. Res. Leena Chennuru Vankadara, Michael Lohaus, Siavash Haghiri, Faiz Ul Wahab, Ulrike von Luxburg
2023	J	`jnl`	Reinterpreting causal discovery as the task of predicting unobserved joint statistics. CoRR Dominik Janzing, Philipp Michael Faller, Leena Chennuru Vankadara
2023	J	`jnl`	Self-Compatibility: Evaluating Causal Discovery without Ground Truth. CoRR Philipp Michael Faller, Leena Chennuru Vankadara, Atalanti-Anastasia Mastakouri, Francesco Locatello, Dominik Janzing
2022	J	`jnl`	A Consistent Estimator for Confounding Strength. CoRR Luca Rendsburg, Leena Chennuru Vankadara, Debarghya Ghoshdastidar, Ulrike von Luxburg
2022	A	`conf`	Causal forecasting: generalization bounds for autoregressive models. UAI Leena Chennuru Vankadara, Philipp Michael Faller, Michaela Hardt, Lenon Minorics, Debarghya Ghoshdastidar, Dominik Janzing
2022	A*	`conf`	Graphon based Clustering and Testing of Networks: Algorithms and Theory. ICLR Mahalakshmi Sabanayagam, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
2022	A*	`conf`	Interpolation and Regularization for Causal Learning. NeurIPS Leena Chennuru Vankadara, Luca Rendsburg, Ulrike von Luxburg, Debarghya Ghoshdastidar
2022	J	`jnl`	Interpolation and Regularization for Causal Learning. CoRR Leena Chennuru Vankadara, Luca Rendsburg, Ulrike von Luxburg, Debarghya Ghoshdastidar
2021	J	`jnl`	Graphon based Clustering and Testing of Networks: Algorithms and Theory. CoRR Mahalakshmi Sabanayagam, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
2020	A	`conf`	On the optimality of kernels for high-dimensional clustering. AISTATS Leena Chennuru Vankadara, Debarghya Ghoshdastidar
2019	J	`jnl`	Large scale representation learning from triplet comparisons. CoRR Siavash Haghiri, Leena Chennuru Vankadara, Ulrike von Luxburg
2019	J	`jnl`	On the optimality of kernels for high-dimensional clustering. CoRR Leena Chennuru Vankadara, Debarghya Ghoshdastidar
2018	A*	`conf`	Measures of distortion for machine learning. NeurIPS Leena Chennuru Vankadara, Ulrike von Luxburg
2016	Misc	`conf`	A Robotic Home Assistant with Memory Aid Functionality. KI Iris Wieser, Sibel Toprak, Andreas Grenzing, Tobias Hinz, Sayantan Auddy, Ethem Can Karaoguz, Abhilash Chandran, Melanie Remmels, Ahmed El Shinawi, Josip Josifovski, Leena Chennuru Vankadara, Faiz Ul Wahab, Alireza MollaAlizadeh Bahnemiri, Debasish Sahu, Stefan Heinrich, Nicolás Navarro-Guerrero, Erik Strahl, Johannes Twiefel, Stefan Wermter