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2020 – today
- 2024
[j16]David Gunawan, Robert Kohn
, David J. Nott:
Flexible Variational Bayes Based on a Copula of a Mixture. J. Comput. Graph. Stat. 33(2): 665-680 (2024)- [c9]Ryan Thompson, Edwin V. Bonilla, Robert Kohn:
Contextual Directed Acyclic Graphs. AISTATS 2024: 2872-2880 - [i7]Ryan Thompson, Edwin V. Bonilla, Robert Kohn:
ProDAG: Projection-induced variational inference for directed acyclic graphs. CoRR abs/2405.15167 (2024) - 2023
- [j15]Imke Botha, Robert Kohn, Leah F. South, Christopher C. Drovandi:
Automatically adapting the number of state particles in SMC2. Stat. Comput. 33(4): 82 (2023) - [j14]Parfait Munezero, Mattias Villani, Robert Kohn:
Dynamic Mixture of Experts Models for Online Prediction. Technometrics 65(2): 257-268 (2023) - [c8]Ryan Thompson, Amir Dezfouli, Robert Kohn:
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks. NeurIPS 2023 - [i6]Ryan Thompson, Amir Dezfouli, Robert Kohn:
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks. CoRR abs/2302.00878 (2023) - [i5]Chen Liu, Chao Wang, Minh-Ngoc Tran, Robert Kohn:
Realized recurrent conditional heteroskedasticity model for volatility modelling. CoRR abs/2302.08002 (2023) - [i4]Minh-Ngoc Tran, Paco Tseng, Robert Kohn:
Particle Mean Field Variational Bayes. CoRR abs/2303.13930 (2023) - [i3]Chen Liu, Minh-Ngoc Tran, Chao Wang, Richard Gerlach, Robert Kohn:
DeepVol: A Deep Transfer Learning Approach for Universal Asset Volatility Modeling. CoRR abs/2309.02072 (2023) - [i2]Ryan Thompson, Edwin V. Bonilla, Robert Kohn:
Contextual directed acyclic graphs. CoRR abs/2310.15627 (2023) - 2021
- [j13]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): 877-888 (2021) - 2020
- [j12]Eduardo F. Mendes, Christopher K. Carter, David Gunawan, Robert Kohn:
A flexible particle Markov chain Monte Carlo method. Stat. Comput. 30(4): 783-798 (2020) - [j11]David Gunawan, Khue-Dung Dang, Matias Quiroz, Robert Kohn, Minh-Ngoc Tran:
Subsampling sequential Monte Carlo for static Bayesian models. Stat. Comput. 30(6): 1741-1758 (2020) - [c7]Robert Salomone, Matias Quiroz, Robert Kohn, Mattias Villani, Minh-Ngoc Tran:
Spectral Subsampling MCMC for Stationary Time Series. ICML 2020: 8449-8458
2010 – 2019
- 2019
- [j10]Khue-Dung Dang, Matias Quiroz, Robert Kohn, Minh-Ngoc Tran, Mattias Villani:
Hamiltonian Monte Carlo with Energy Conserving Subsampling. J. Mach. Learn. Res. 20: 100:1-100:31 (2019) - [j9]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): 933-946 (2019) - [c6]Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson:
Variance reduction properties of the reparameterization trick. AISTATS 2019: 2711-2720 - 2018
- [i1]Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson:
On some variance reduction properties of the reparameterization trick. CoRR abs/1809.10330 (2018) - 2016
- [j8]Minh-Ngoc Tran, Michael K. Pitt, Robert Kohn:
Adaptive Metropolis-Hastings sampling using reversible dependent mixture proposals. Stat. Comput. 26(1-2): 361-381 (2016) - 2015
- [b1]Robert Kohn:
A Framework for Batch Scheduling with Variable Neighborhood Search in Wafer Fabrication. Bundeswehr University Munich, 2015 - 2013
- [c5]Robert Kohn, Oliver Rose, Christoph Laroque:
Study on multi-objective optimization for parallel batch machine scheduling using variable neighbourhood search. WSC 2013: 3654-3670 - 2012
- [c4]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: 181:1-181:13 - 2011
- [j7]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): 871-883 (2011) - [c3]Robert Kohn, Oliver Rose:
Automated generation of analytical process time models for cluster tools in semiconductor manufacturing. WSC 2011: 1808-1820 - 2010
- [j6]Rachida Ouysse, Robert Kohn:
Bayesian variable selection and model averaging in the arbitrage pricing theory model. Comput. Stat. Data Anal. 54(12): 3249-3268 (2010)
2000 – 2009
- 2009
- [j5]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): 303-316 (2009) - [c2]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: 1592-1600 - 2007
- [j4]David S. Leslie, Robert Kohn, David J. Nott:
A general approach to heteroscedastic linear regression. Stat. Comput. 17(2): 131-146 (2007) - 2003
- [j3]Davi Geiger, Tyng-Luh Liu, Robert Kohn:
Representation and Self-Similarity of Shapes. IEEE Trans. Pattern Anal. Mach. Intell. 25(1): 86-99 (2003) - [j2]Paul Yau, Robert Kohn:
Estimation and variable selection in nonparametric heteroscedastic regression. Stat. Comput. 13(3): 191-208 (2003) - 2001
- [j1]Robert Kohn, Michael S. Smith, David Chan:
Nonparametric regression using linear combinations of basis functions. Stat. Comput. 11(4): 313-322 (2001)
1990 – 1999
- 1998
- [c1]Tyng-Luh Liu, Davi Geiger, Robert Kohn:
Representation and Self-Similarity of Shapes. ICCV 1998: 1129-1138
Coauthor Index
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last updated on 2024-10-07 22:05 CEST by the dblp team
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