Leello Tadesse Dadi (2025)

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.  

Convergence to Equilibrium of No-Regret Dynamics in Congestion Games

V. Cevher; W. Chen; L. Dadi; J. Dong; I. Panageas et al. 

2026. 20th International Conference on Web and Internet Economics, Edinburgh, UK, 2024-12-02 – 2024-12-05. p. 513 – 529. DOI : 10.1007/978-3-032-08560-3_29.

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Noisy Gradient Descent in Machine Learning: generalization, games, and sampling

L. T. Dadi / V. Cevher (Dir.)  

Lausanne, EPFL, 2026. 

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Generalization of Noisy SGD in Unbounded Non-convex Settings

L. Dadi; V. Cevher 

2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 – 2025-07-19.

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Faster Inference Of Flow-Based Generative Models Via Improved Data-Noise Coupling

A. Davtyan; L. T. Dadi; V. Cevher; P. Favaro 

2025. The Thirteenth International Conference on Learning Representations, Singapore, 2025-04-24-2025-04-28.

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Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks

F. Liu; L. Dadi; V. Cevher 

Journal of Machine Learning Research. 2024. Vol. 25.

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