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heavy-tailed distribution

98 papers

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Co-occurring keywords

stochastic gradient descent (1091) robust estimation (168) robust statistics (102) stochastic optimization (1060) regret bound (1926) multi-armed bandit (1098) linear regression (282) mean estimation (70) stochastic differential equation (181) sample complexity (1169)

Papers

Graphical Models in Heavy-Tailed Markets NIPS 2021
Scaling-Up Robust Gradient Descent Techniques AAAI 2021
Robustness and scalability under heavy tails, without strong convexity AISTATS 2021
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks NIPS 2021
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning JMLR 2021
Fractional moment-preserving initialization schemes for training deep neural networks AISTATS 2021
On Proximal Policy Optimization’s Heavy-tailed Gradients ICML 2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions ICML 2021
Taming heavy-tailed features by shrinkage AISTATS 2021
Regret Minimization in Heavy-Tailed Bandits COLT 2021
Robust Inference for High-Dimensional Linear Models via Residual Randomization ICML 2021
Multiplicative Noise and Heavy Tails in Stochastic Optimization ICML 2021
Private Mean Estimation of Heavy-Tailed Distributions COLT 2020
Fast Rates for General Unbounded Loss Functions: From ERM to Generalized Bayes JMLR 2020
Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions ICML 2020
Cooperative Multi-Agent Bandits with Heavy Tails ICML 2020
Optimal $δ$-Correct Best-Arm Selection for Heavy-Tailed Distributions ALT 2020
Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs IJCAI 2020
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization NIPS 2020
Stochastic bandits with arm-dependent delays ICML 2020
A Robust Univariate Mean Estimator is All You Need AISTATS 2020
A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates COLT 2020
Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping NIPS 2020
List-Decodable Mean Estimation via Iterative Multi-Filtering NIPS 2020
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks ICML 2019