
Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope
We present an entirely new geometric and probabilistic approach to synch...
04/11/2019 ∙ by Tolga Birdal, et al. ∙ 16 ∙ shareread it

First Exit Time Analysis of Stochastic Gradient Descent Under HeavyTailed Gradient Noise
Stochastic gradient descent (SGD) has been widely used in machine learni...
06/21/2019 ∙ by Thanh Huy Nguyen, et al. ∙ 12 ∙ shareread it

Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC
We introduce Tempered Geodesic Markov Chain Monte Carlo (TGMCMC) algori...
05/31/2018 ∙ by Tolga Birdal, et al. ∙ 2 ∙ shareread it

Fractional Langevin Monte Carlo: Exploring Lévy Driven Stochastic Differential Equations for Markov Chain Monte Carlo
Along with the recent advances in scalable Markov Chain Monte Carlo meth...
06/12/2017 ∙ by Umut Şimşekli, et al. ∙ 0 ∙ shareread it

Learning the Morphology of Brain Signals Using AlphaStable Convolutional Sparse Coding
Neural timeseries data contain a wide variety of prototypical signal wa...
05/22/2017 ∙ by Mainak Jas, et al. ∙ 0 ∙ shareread it

Stochastic QuasiNewton Langevin Monte Carlo
Recently, Stochastic Gradient Markov Chain Monte Carlo (SGMCMC) methods...
02/10/2016 ∙ by Umut Şimşekli, et al. ∙ 0 ∙ shareread it

HAMSI: A Parallel Incremental Optimization Algorithm Using Quadratic Approximations for Solving Partially Separable Problems
We propose HAMSI (Hessian Approximated Multiple Subsets Iteration), whic...
09/05/2015 ∙ by Kamer Kaya, et al. ∙ 0 ∙ shareread it

Parallel Stochastic Gradient Markov Chain Monte Carlo for Matrix Factorisation Models
For large matrix factorisation problems, we develop a distributed Markov...
06/03/2015 ∙ by Umut Şimşekli, et al. ∙ 0 ∙ shareread it

Asynchronous Stochastic QuasiNewton MCMC for NonConvex Optimization
Recent studies have illustrated that stochastic gradient Markov Chain Mo...
06/07/2018 ∙ by Umut Şimşekli, et al. ∙ 0 ∙ shareread it

SlicedWasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions
By building up on the recent theory that established the connection betw...
06/21/2018 ∙ by Umut Şimşekli, et al. ∙ 0 ∙ shareread it

A TailIndex Analysis of Stochastic Gradient Noise in Deep Neural Networks
The gradient noise (GN) in the stochastic gradient descent (SGD) algorit...
01/18/2019 ∙ by Umut Şimşekli, et al. ∙ 0 ∙ shareread it

NonAsymptotic Analysis of Fractional Langevin Monte Carlo for NonConvex Optimization
Recent studies on diffusionbased sampling methods have shown that Lange...
01/22/2019 ∙ by Thanh Huy Nguyen, et al. ∙ 0 ∙ shareread it

Generalized Sliced Wasserstein Distances
The Wasserstein distance and its variations, e.g., the slicedWasserstei...
02/01/2019 ∙ by Soheil Kolouri, et al. ∙ 0 ∙ shareread it

Speech enhancement with variational autoencoders and alphastable distributions
This paper focuses on singlechannel semisupervised speech enhancement....
02/08/2019 ∙ by Simon Leglaive, et al. ∙ 0 ∙ shareread it

Asymptotic Guarantees for Learning Generative Models with the SlicedWasserstein Distance
Minimum expected distance estimation (MEDE) algorithms have been widely ...
06/11/2019 ∙ by Kimia Nadjahi, et al. ∙ 0 ∙ shareread it

Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns
We introduce a dynamic generative model, Bayesian allocation model (BAM)...
03/11/2019 ∙ by Ali Taylan Cemgil, et al. ∙ 0 ∙ shareread it

Supervised Symbolic Music Style Translation Using Synthetic Data
Research on style transfer and domain translation has clearly demonstrat...
07/04/2019 ∙ by Ondřej Cífka, et al. ∙ 0 ∙ shareread it

On the HeavyTailed Theory of Stochastic Gradient Descent for Deep Neural Networks
The gradient noise (GN) in the stochastic gradient descent (SGD) algorit...
11/29/2019 ∙ by Umut Şimşekli, et al. ∙ 0 ∙ shareread it

Approximate Bayesian Computation with the SlicedWasserstein Distance
Approximate Bayesian Computation (ABC) is a popular method for approxima...
10/28/2019 ∙ by Kimia Nadjahi, et al. ∙ 0 ∙ shareread it

A Generative Model for NonIntrusive Load Monitoring in Commercial Buildings
In the recent years, there has been an increasing academic and industria...
02/26/2018 ∙ by Simon Henriet, et al. ∙ 0 ∙ shareread it
Umut Şimşekli
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