Robert Kohn

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 20

Top Venues

CoRR

Stat. Comput.

AISTATS

J. Comput. Graph. Stat.

Bundeswehr University Munich (PHD)

Education History

Bundeswehr University Munich

PHD

Publications

Ryan Thompson, Edwin V. Bonilla, Robert Kohn
ProDAG: Projection-induced variational inference for directed acyclic graphs. CoRR (2024)
David Gunawan, Robert Kohn, David J. Nott
Flexible Variational Bayes Based on a Copula of a Mixture. J. Comput. Graph. Stat. 33 (2) (2024)
Ryan Thompson, Edwin V. Bonilla, Robert Kohn
Contextual Directed Acyclic Graphs. AISTATS (2024)
Minh-Ngoc Tran, Paco Tseng, Robert Kohn
Particle Mean Field Variational Bayes. CoRR (2023)
Chen Liu, Minh-Ngoc Tran, Chao Wang, Richard Gerlach, Robert Kohn
DeepVol: A Deep Transfer Learning Approach for Universal Asset Volatility Modeling. CoRR (2023)
Imke Botha, Robert Kohn, Leah F. South, Christopher C. Drovandi
. Stat. Comput. 33 (4) (2023)
Ryan Thompson, Amir Dezfouli, Robert Kohn
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks. CoRR (2023)
Ryan Thompson, Amir Dezfouli, Robert Kohn
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks. NeurIPS (2023)
Chen Liu, Chao Wang, Minh-Ngoc Tran, Robert Kohn
Realized recurrent conditional heteroskedasticity model for volatility modelling. CoRR (2023)
Ryan Thompson, Edwin V. Bonilla, Robert Kohn
Contextual directed acyclic graphs. CoRR (2023)
Parfait Munezero, Mattias Villani, Robert Kohn
Dynamic Mixture of Experts Models for Online Prediction. Technometrics 65 (2) (2023)
Matias Quiroz, Minh-Ngoc Tran, Mattias Villani, Robert Kohn, Khue-Dung Dang
The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC. J. Comput. Graph. Stat. 30 (4) (2021)
Robert Salomone, Matias Quiroz, Robert Kohn, Mattias Villani, Minh-Ngoc Tran
Spectral Subsampling MCMC for Stationary Time Series. ICML (2020)
Eduardo F. Mendes, Christopher K. Carter, David Gunawan, Robert Kohn
A flexible particle Markov chain Monte Carlo method. Stat. Comput. 30 (4) (2020)
David Gunawan, Khue-Dung Dang, Matias Quiroz, Robert Kohn, Minh-Ngoc Tran
Subsampling sequential Monte Carlo for static Bayesian models. Stat. Comput. 30 (6) (2020)
Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson
Variance reduction properties of the reparameterization trick. AISTATS (2019)
Khue-Dung Dang, Matias Quiroz, Robert Kohn, Minh-Ngoc Tran, Mattias Villani
Hamiltonian Monte Carlo with Energy Conserving Subsampling. J. Mach. Learn. Res. 20 (2019)
David Gunawan, Minh-Ngoc Tran, Kosuke Suzuki, Josef Dick, Robert Kohn
Computationally efficient Bayesian estimation of high-dimensional Archimedean copulas with discrete and mixed margins. Stat. Comput. 29 (5) (2019)
Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson
On some variance reduction properties of the reparameterization trick. CoRR (2018)
Minh-Ngoc Tran, Michael K. Pitt, Robert Kohn
Adaptive Metropolis-Hastings sampling using reversible dependent mixture proposals. Stat. Comput. 26 (1-2) (2016)
Robert Kohn, Oliver Rose, Christoph Laroque
Study on multi-objective optimization for parallel batch machine scheduling using variable neighbourhood search. WSC (2013)
Robert Kohn, Oliver Rose
Study on optimization potential influencing factors in simulation studies focused on parallel batch machine scheduling using variable neighbourhood search. WSC (2012)
Robert Kohn, Oliver Rose
Automated generation of analytical process time models for cluster tools in semiconductor manufacturing. WSC (2011)
Christopher K. Carter, Frederick Wong, Robert Kohn
Constructing priors based on model size for nondecomposable Gaussian graphical models: A simulation based approach. J. Multivar. Anal. 102 (5) (2011)
Rachida Ouysse, Robert Kohn
Bayesian variable selection and model averaging in the arbitrage pricing theory model. Comput. Stat. Data Anal. 54 (12) (2010)
Robert Kohn, Daniel Noack, Marcin Mosinski, Zhugen Zhou, Oliver Rose
Evaluation of Modeling, Simulation and Optimization Approaches for Work Flow Management in Semiconductor Manufacturing. WSC (2009)
Helen Armstrong, Christopher K. Carter, Kin Foon Kevin Wong, Robert Kohn
Bayesian covariance matrix estimation using a mixture of decomposable graphical models. Stat. Comput. 19 (3) (2009)
David S. Leslie, Robert Kohn, David J. Nott
A general approach to heteroscedastic linear regression. Stat. Comput. 17 (2) (2007)
Davi Geiger, Tyng-Luh Liu, Robert Kohn
Representation and Self-Similarity of Shapes. IEEE Trans. Pattern Anal. Mach. Intell. 25 (1) (2003)
Paul Yau, Robert Kohn
Estimation and variable selection in nonparametric heteroscedastic regression. Stat. Comput. 13 (3) (2003)
Robert Kohn, Michael S. Smith, David Chan
Nonparametric regression using linear combinations of basis functions. Stat. Comput. 11 (4) (2001)
Tyng-Luh Liu, Davi Geiger, Robert Kohn
Representation and Self-Similarity of Shapes. ICCV (1998)

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Publication Activity (10 Years)

Top Topics

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Robert Kohn