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heavy-tailed loss

7 papers

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Co-occurring keywords · papers mentioning both

heavy-tailed distribution (4) risk minimization (2) stochastic optimization (2) spectral risk (1) risk-based learning (1) adversarial bandit (1) high probability bound (1) pac-bayesian theory (1) gradient-based solver (1) gibbs posterior (1)

Papers

Robust variance-regularized risk minimization with concomitant scaling AISTATS 2024 Taming Heavy-Tailed Losses in Adversarial Bandits and the Best-of-Both-Worlds Setting NeurIPS 2024 Learning via Wasserstein-Based High Probability Generalisation Bounds NeurIPS 2023 Spectral risk-based learning using unbounded losses AISTATS 2022 Scaling-Up Robust Gradient Descent Techniques AAAI 2021 PAC-Bayes under potentially heavy tails NeurIPS 2019 Fast learning rates with heavy-tailed losses NeurIPS 2016