Dadi Leelo Tadesse (2020)

Research Interests:

  • Optimization
  • Algorithms and Randomness.

 

Biography

I studied Applied Mathematics and Computer Science at Télécom ParisTech. I obtained my MSc degree from ENS Paris-Saclay in 2019.

Publications (most recent)

Finding Actual Descent Directions For Adversarial Training

F. Latorre; I. Krawczuk; L. T. Dadi; T. M. Pethick; V. Cevher 

2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.

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Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization

A. Kavis; E. P. Skoulakis; K. Antonakopoulos; L. T. Dadi; V. Cevher 

2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisianna, USA, November 28-December 9, 2022.

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The spectral bias of polynomial neural networks

M. Choraria; L. T. Dadi; G. Chrysos; J. Mairal; V. Cevher 

2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.

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The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers

F. Latorre; L. T. Dadi; P. T. Y. Rolland; V. Cevher 

2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.

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Contact

email address: Dadi Leello Tadesse

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