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, 2016 | 15 | 2016 |

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 | 14 | 2017 |

Ensemble committees for stock return classification and prediction J Brofos arXiv preprint arXiv:1404.1492, 2014 | 3 | 2014 |

A Note on Deep Variational Models for Unsupervised Clustering R Shu, J Brofos, C Langlotz | 1 | 2017 |

The optimistic method for model estimation J Brofos, R Shu, F Zhang International Symposium on Intelligent Data Analysis, 146-157, 2016 | 1 | 2016 |

Optimistic and Parallel Ising Model Estimation J Brofos, R Shu | 1 | 2015 |

A Markov chain analysis of a pattern matching coin game J Brofos arXiv preprint arXiv:1406.2212, 2014 | 1 | 2014 |

Magnetic Manifold Hamiltonian Monte Carlo JA Brofos, RR Lederman arXiv preprint arXiv:2010.07753, 2020 | | 2020 |

Non-Canonical Hamiltonian Monte Carlo JA Brofos, RR Lederman arXiv preprint arXiv:2008.08191, 2020 | | 2020 |

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 |

Communication Complexity of Distributed Statistical Algorithms J Brofos | | 2015 |

A Hybrid Monte Carlo Architecture for Parameter Optimization J Brofos arXiv preprint arXiv:1405.2377, 2014 | | 2014 |

Automated Attribution and Intertextual Analysis J Brofos, A Kannan, R Shu arXiv preprint arXiv:1405.0616, 2014 | | 2014 |

Deep Neural Networks and Hierarchical t-SNE for Two-Dimensional Word-Vector Representations J Brofos | | 2014 |

Information-Theoretic Limits for Density Estimation J Brofos | | 2014 |

On Opportunity Cost Bounds for the Knowledge Gradient J Brofos | | 2014 |

Consistency of Ensemble Support Vector Machines J Brofos, A Kannan | | 2014 |

Computer Vision Project J Brofos, A Kannan, C An | | 2013 |