We stand with Ukraine

We stand with Ukraine

Robert Kohn

Orcid: 0000-0002-3733-1474

According to our database¹, Robert Kohn authored at least 28 papers between 2001 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

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Links

On csauthors.net:

Bibliography

2023

Automatically adapting the number of state particles in SMC<sup>2</sup>.

[BibT_eX]

[DOI]

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Christopher C. Drovandi

Stat. Comput., August, 2023

Dynamic Mixture of Experts Models for Online Prediction.

[BibT_eX]

[DOI]

Parfait Munezero

,

Mattias Villani

,

Technometrics, April, 2023

Contextual directed acyclic graphs.

[BibT_eX]

[DOI]

,

Edwin V. Bonilla

,

CoRR, 2023

DeepVol: A Deep Transfer Learning Approach for Universal Asset Volatility Modeling.

[BibT_eX]

[DOI]

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,

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Richard Gerlach

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CoRR, 2023

Particle Mean Field Variational Bayes.

[BibT_eX]

[DOI]

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,

CoRR, 2023

Realized recurrent conditional heteroskedasticity model for volatility modelling.

[BibT_eX]

[DOI]

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CoRR, 2023

The Contextual Lasso: Sparse Linear Models via Deep Neural Networks.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC.

[BibT_eX]

[DOI]

,

,

Mattias Villani

,

,

J. Comput. Graph. Stat., 2021

2020

A flexible particle Markov chain Monte Carlo method.

[BibT_eX]

[DOI]

Eduardo F. Mendes

,

Christopher K. Carter

,

,

Stat. Comput., 2020

Subsampling sequential Monte Carlo for static Bayesian models.

[BibT_eX]

[DOI]

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,

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,

Stat. Comput., 2020

Spectral Subsampling MCMC for Stationary Time Series.

[BibT_eX]

[DOI]

Robert Salomone

,

,

,

Mattias Villani

,

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Computationally efficient Bayesian estimation of high-dimensional Archimedean copulas with discrete and mixed margins.

[BibT_eX]

[DOI]

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Stat. Comput., 2019

Hamiltonian Monte Carlo with Energy Conserving Subsampling.

[BibT_eX]

[DOI]

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Mattias Villani

J. Mach. Learn. Res., 2019

Variance reduction properties of the reparameterization trick.

[BibT_eX]

[DOI]

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,

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Scott A. Sisson

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

On some variance reduction properties of the reparameterization trick.

[BibT_eX]

[DOI]

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,

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Scott A. Sisson

CoRR, 2018

2016

Adaptive Metropolis-Hastings sampling using reversible dependent mixture proposals.

[BibT_eX]

[DOI]

,

Michael K. Pitt

,

Stat. Comput., 2016

2015

A Framework for Batch Scheduling with Variable Neighborhood Search in Wafer Fabrication.

[BibT_eX]

[DOI]

PhD thesis, 2015

2013

Study on multi-objective optimization for parallel batch machine scheduling using variable neighbourhood search.

[BibT_eX]

[DOI]

,

,

Christoph Laroque

Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

2012

Study on optimization potential influencing factors in simulation studies focused on parallel batch machine scheduling using variable neighbourhood search.

[BibT_eX]

[DOI]

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Proceedings of the Winter Simulation Conference, 2012

2011

Constructing priors based on model size for nondecomposable Gaussian graphical models: A simulation based approach.

[BibT_eX]

[DOI]

Christopher K. Carter

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,

J. Multivar. Anal., 2011

Automated generation of analytical process time models for cluster tools in semiconductor manufacturing.

[BibT_eX]

[DOI]

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Proceedings of the Winter Simulation Conference 2011, 2011

2010

Bayesian variable selection and model averaging in the arbitrage pricing theory model.

[BibT_eX]

[DOI]

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Comput. Stat. Data Anal., 2010

2009

Bayesian covariance matrix estimation using a mixture of decomposable graphical models.

[BibT_eX]

[DOI]

Helen Armstrong

,

Christopher K. Carter

,

Kin Foon Kevin Wong

,

Stat. Comput., 2009

Evaluation of Modeling, Simulation and Optimization Approaches for Work Flow Management in Semiconductor Manufacturing.

[BibT_eX]

[DOI]

,

,

Marcin Mosinski

,

,

Proceedings of the 2009 Winter Simulation Conference, 2009

2007

A general approach to heteroscedastic linear regression.

[BibT_eX]

[DOI]

David S. Leslie

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,

Stat. Comput., 2007

2003

Estimation and variable selection in nonparametric heteroscedastic regression.

[BibT_eX]

[DOI]

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Stat. Comput., 2003

Representation and Self-Similarity of Shapes.

[BibT_eX]

[DOI]

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IEEE Trans. Pattern Anal. Mach. Intell., 2003

2001

Nonparametric regression using linear combinations of basis functions.

[BibT_eX]

[DOI]

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Michael S. Smith

,

Stat. Comput., 2001

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