Papers

• Mean Field Reinforcement Learning (2026)
  Ren\'e Carmona et al.
  5.49
• Optimal scaling of MCMC algorithms: exploiting the symmetry of the Metropolis-Hastings formula (2026)
  P. Dobson et al.
  4.39
• All-out Attack: Optimal Block Withholding Under Pay-Per-Share Scheme (2026)
  Mustafa Doger et al.
  4.39
• A Mathematical Introduction to Diffusion Models (2026)
  Jianfeng Lu
  4.39
• Partial Model Sharing Improves Byzantine Resilience in Federated Conformal Prediction (2026)
  Ehsan Lari et al.
  1.89
• Optimization Trade-offs in Asynchronous Federated Learning: A Stochastic Networks Approach (2026)
  Abdelkrim Alahyane (LAAS-SARA) et al.
  1.78
• Minimum Norm Interpolation via the Local Theory of Banach Spaces: The Role of $2$-Uniform Convexity (2026)
  Gil Kur et al.
  1.78
• PRISM-FCP: Byzantine-Resilient Federated Conformal Prediction via Partial Sharing (2026)
  Ehsan Lari et al.
  1.72
• gp2Scale: A Class of Compactly Supported Non-Stationary Kernels and Distributed Computing for Exact Gaussian Processes on 10 Million Data Points (2025)
  Marcus M. Noack et al.
  1.61
• Deconstructing Stellar Consensus (Extended Version) (2019)
  \'Alvaro Garc\'ia-P\'erez and Maria A. Schett
  —
• Byz-GentleRain: An Efficient Byzantine-tolerant Causal Consistency Protocol (2021)
  Kaile Huang et al.
  —
• Simulating Authenticated Broadcast in Networks of Bounded Degree (2022)
  Shaolin Yu et al.
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• Bounding the Response Time of DAG Tasks Using Long Paths (2022)
  Qingqiang He et al.
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• Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning (2024)
  Seyeon Kim et al.
  —