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Papers
Deep Kernel Posterior Learning under Infinite Variance Prior Weights
ICLR 2025
Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models
ICLR 2025
Alpha-Stable Autoregressive Fast Multichannel Nonnegative Matrix Factorization for Joint Speech Enhancement and Dereverberation
Interspeech 2021
Unsupervised Robust Speech Enhancement Based on Alpha-Stable Fast Multichannel Nonnegative Matrix Factorization
Interspeech 2020
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
NeurIPS 2019
Dictionary Learning Based on Sparse Distribution Tomography
ICML 2017
Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for Markov Chain Monte Carlo
ICML 2017
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding
NeurIPS 2017
Characteristic Kernels and Infinitely Divisible Distributions
JMLR 2016
Sign Cauchy Projections and Chi-Square Kernel
NeurIPS 2013