NeurIPS 2021,  December, 6 – 14.

  1. Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm
    Nathan Noiry, Flore Sentenac, Vianney Perchet
  2. Sliced-Wasserstein Distance Using Concentration of Random Projections
    Kimia Nadjahi, Alain Durmus, Pierre E. Jacob, Roland Badeau, Umut Şimşekli
  3. Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
    Melih Barsbey, Milad Sefidgaran, Murat A. Erdogdu, Gaël Richard, Umut Şimşekli
  4. Mixture weights optimisation for Alpha-Divergence Variational Inference
    Kamélia Daudel, Randal Douc
  5. A Framework to Learn with Interpretation
    Jayneel Parekh, Pavlo Mozharovskyi, Florence d’Alché-Buc.