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Miles - Machine Intellligence and Learning Systems
Contact: jamal.atif@dauphine.psl.eu
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Associate professor position (PSL, Lamsade): Machine learning & optimization

Posted on 2019-02-062019-02-13 by bnegrevergne

Job description as a pdf file mcf_2019.pdf, or here.

Posted in position
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Recent papers

  • Differentially Private Gradient Flow based on the Sliced Wasserstein Distance
  • Optimal Classification under Performative Distribution Shift
  • Chain and Causal Attention for Efficient Entity Tracking

Recent posts

  • MILES@AISTATS 2025
  • MILES@ICLR 2025
  • New MILES paper in TMLR
  • New MILES paper in TMLR

Latest publications

  • Differentially Private Gradient Flow based on the Sliced Wasserstein Distance
  • Optimal Classification under Performative Distribution Shift
  • Chain and Causal Attention for Efficient Entity Tracking
  • Complexity Analysis of Regularization Methods for Implicitly Constrained Least Squares
  • Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks
  • Averaging trajectories on the manifold of symmetric positive definite matrices
  • Expected decrease for derivative-free algorithms using random subspaces
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Project-team Miles, LAMSADE, Université Paris Dauphine. Place du Maréchal de Lattre de Tassigny, 75 775 PARIS CEDEX 16, FRANCE