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heavy-tailed distribution
heavy-tailed distribution
98 papers
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Papers
Thompson Sampling on Symmetric Alpha-Stable Bandits
IJCAI 2019
Bayesian Optimization under Heavy-tailed Payoffs
NIPS 2019
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
NIPS 2019
Cross-sectional Learning of Extremal Dependence among Financial Assets
NIPS 2019
Affine Invariant Covariance Estimation for Heavy-Tailed Distributions
COLT 2019
Understanding Priors in Bayesian Neural Networks at the Unit Level
ICML 2019
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs
NIPS 2018
Local Minima, Heavy Tails, and Search Effort for GBFS
IJCAI 2018
$\ell_1$-regression with Heavy-tailed Distributions
NIPS 2018
Estimation of the covariance structure of heavy-tailed distributions
NIPS 2017
Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for Markov Chain Monte Carlo
ICML 2017
Fast learning rates with heavy-tailed losses
NIPS 2016
Robust Portfolio Optimization
NIPS 2015
Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector Autoregressive Processes
ICML 2015
Heavy-tailed regression with a generalized median-of-means
ICML 2014
Learning without concentration
COLT 2014
Heavy-tailed Distances for Gradient Based Image Descriptors
NIPS 2011
Exact inference and learning for cumulative distribution functions on loopy graphs
NIPS 2010
Heavy-Tailed Process Priors for Selective Shrinkage
NIPS 2010
Inference with Multivariate Heavy-Tails in Linear Models
NIPS 2010
Maximum-likelihood learning of cumulative distribution functions on graphs
AISTATS 2010
Heavy-Tailed Symmetric Stochastic Neighbor Embedding
NIPS 2009
Characterizing response behavior in multisensory perception with conflicting cues
NIPS 2008
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