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James Brofos
James Brofos
Senior Data Scientist, The MITRE Corporation
Bestätigte E-Mail-Adresse bei dartmouth.edu - Startseite
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Stochastic video prediction with conditional density estimation
R Shu, J Brofos, F Zhang, HH Bui, M Ghavamzadeh, M Kochenderfer
ECCV Workshop on Action and Anticipation for Visual Learning 2, 2, 2016
232016
Quantitative criticism of literary relationships
JP Dexter, T Katz, N Tripuraneni, T Dasgupta, A Kannan, JA Brofos, ...
Proceedings of the National Academy of Sciences 114 (16), E3195-E3204, 2017
172017
Non-canonical Hamiltonian Monte Carlo
JA Brofos, RR Lederman
arXiv preprint arXiv:2008.08191, 2020
52020
Magnetic manifold hamiltonian monte carlo
JA Brofos, RR Lederman
arXiv preprint arXiv:2010.07753, 2020
42020
Evaluating the implicit midpoint integrator for riemannian hamiltonian monte carlo
J Brofos, RR Lederman
International Conference on Machine Learning, 1072-1081, 2021
32021
Profiling of intertextuality in Latin literature using word embeddings
PJ Burns, JA Brofos, K Li, P Chaudhuri, JP Dexter
Proceedings of the 2021 Conference of the North American Chapter of the …, 2021
32021
Ensemble committees for stock return classification and prediction
J Brofos
arXiv preprint arXiv:1404.1492, 2014
32014
A Bias-Variance Decomposition for Bayesian Deep Learning
J Brofos, R Shu, RR Lederman
NeurIPS 2019 Workshop on Bayesian Deep Learning, 2019
22019
A note on deep variational models for unsupervised clustering
R Shu, J Brofos, C Langlotz
22017
Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals
J Brofos, M Gabrié, MA Brubaker, RR Lederman
International Conference on Artificial Intelligence and Statistics, 5949-5986, 2022
12022
Evaluating the Implicit Midpoint Integrator for Riemannian Manifold Hamiltonian Monte Carlo
JA Brofos, RR Lederman
arXiv preprint arXiv:2102.07139, 2021
12021
Manifold density estimation via generalized dequantization
JA Brofos, MA Brubaker, RR Lederman
arXiv preprint arXiv:2102.07143, 2021
12021
The optimistic method for model estimation
J Brofos, R Shu, F Zhang
International Symposium on Intelligent Data Analysis, 146-157, 2016
12016
Optimistic and Parallel Ising Model Estimation
J Brofos, R Shu
12015
A Markov chain analysis of a pattern matching coin game
J Brofos
arXiv preprint arXiv:1406.2212, 2014
12014
Several Remarks on the Numerical Integrator in Lagrangian Monte Carlo
JA Brofos, RR Lederman
arXiv preprint arXiv:2202.13888, 2022
2022
On Numerical Considerations for Riemannian Manifold Hamiltonian Monte Carlo
JA Brofos, RR Lederman
arXiv preprint arXiv:2111.09995, 2021
2021
Parallelization of Minimum Probability Flow on Binary Markov Random Fields
J Brofos, R Shu
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
2015
STATISTICAL ESTIMATION OF ISING GRAPHICAL MODELS
J Brofos
2015
Adaptive Neural Network Representations for Parallel and Scalable Bayesian Optimization
J Brofos, R Shu, M Jin
2015
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