PPaperPicks

Kevin Scaman

7 papers at tracked venues · 5 at CORE A* · active 2024–2025

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Venues

AISTATS ×2ICML ×2AAAI ×1ICLR ×1NeurIPS ×1

Frequent coauthors

Laurent Massoulié
×2
David A. R. Robin
×2
Martin Van Waerebeke
×2
Marco Lorenzi
×2
Giovanni Neglia
×2
Batiste Le Bars
×2
Constantin Philippenko
×1
Killian Bakong
×1
Aurélien Bellet
×1
Marc Tommasi
×1
Mathieu Even
×1
Marc Lelarge
×1

Papers

  1. In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting
    AAAI 2025 ·
    Constantin Philippenko
    , Kevin Scaman,
    Laurent Massoulié
  2. Stab-SGD: Noise-Adaptivity in Smooth Optimization with Stability Ratios
    NeurIPS 2025 ·
    David A. R. Robin
    ,
    Killian Bakong
    , Kevin Scaman
  3. When to Forget? Complexity Trade-offs in Machine Unlearning
    ICML 2025 ·
    Martin Van Waerebeke
    ,
    Marco Lorenzi
    ,
    Giovanni Neglia
    , Kevin Scaman
  4. Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm
    ICML 2024 ·
    Batiste Le Bars
    ,
    Aurélien Bellet
    ,
    Marc Tommasi
    , Kevin Scaman,
    Giovanni Neglia
  5. Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles
    AISTATS 2024 · Kevin Scaman,
    Mathieu Even
    ,
    Batiste Le Bars
    ,
    Laurent Massoulié
  6. Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks
    ICLR 2024 ·
    David A. R. Robin
    , Kevin Scaman,
    Marc Lelarge
  7. SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization
    AISTATS 2024 ·
    Yann Fraboni
    ,
    Martin Van Waerebeke
    , Kevin Scaman,
    Richard Vidal
    ,
    Laetitia Kameni
    ,
    Marco Lorenzi