Kevin Scaman

Venues

Frequent coauthors

Papers

1. In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting
   AAAI 2025 ·

   Constantin Philippenko

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2. Stab-SGD: Noise-Adaptivity in Smooth Optimization with Stability Ratios
   NeurIPS 2025 ·

   David A. R. Robin

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3. When to Forget? Complexity Trade-offs in Machine Unlearning
   ICML 2025 ·

   Martin Van Waerebeke

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4. Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm
   ICML 2024 ·

   Batiste Le Bars

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5. Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles
   AISTATS 2024 · Kevin Scaman
6. Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks
   ICLR 2024 ·

   David A. R. Robin

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7. SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization
   AISTATS 2024 ·

   Yann Fraboni

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