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heavy-tailed gradient

6 papers

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gradient clipping (3) stochastic gradient descent (2) differential privacy (2) lipschitz constant (1) proximal policy optimization (1) private algorithm (1) heavy-tailed noise (1) lipchitz constant (1) pairwise learning (1) nonsmooth nonconvex optimization (1)

Papers

Online Convex Optimization with Heavy Tails: Old Algorithms, New Regrets, and Applications ALT 2026 Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates AAAI 2025 Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent AAAI 2025 Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NeurIPS 2024 On Proximal Policy Optimization’s Heavy-tailed Gradients ICML 2021 Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise ICML 2020