Keyword Search
Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: neural networks returned 20 record(s)
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Monday, 07/30/2018
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Classroom Demonstration: Deep Learning for Classification and Prediction, Introduction to GPU Computing
Eric Suess, CSU East Bay
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A Generalization of Convolutional Neural Networks to Graph-Structured Data
Yotam Hechtlinger, Carnegie Mellon Univ; Purvasha Chakravarti, Carnegie Mellon University; Jining Qin, Carnegie Mellon University
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Multiple Imputation Using Denoising Autoencoders
Lovedeep Gondara
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Detecting Planets: Jointly Modeling Radial Velocity and Stellar Activity Time Series
David Edward Jones, Duke University and SAMSI; David Stenning, Imperial College London; Eric Ford, Penn State University; Robert Wolpert, Duke University; Thomas Loredo, Cornell University; Xavier Dumusque, Observatoire Astronomique de l'Universite de Geneve
8:35 AM
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Multiple Imputation Using Denoising Autoencoders
Lovedeep Gondara
9:20 AM
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Edward: a Library for Probabilistic Machine Learning and Statistics
Dustin Tran, Columbia University; David Blei, Columbia University
11:35 AM
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Sufficient Dimension Reduction Using Deep Neural Networks
Yixi Xu, Purdue University; Xin Zhang, Florida State University; Xiao Wang , Purdue University
11:50 AM
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Sparse-Input Neural Networks for High-Dimensional Nonparametric Regression and Classification
Jean Feng; Noah Simon, University of Washington
2:05 PM
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Wednesday, 08/01/2018
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Improving Object Detection with Image Preprocessing
Timothy J. Park, Purdue University
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Heterogeneous Treatment Effect Estimation through Deep Learning
Ran Chen, Wharton; Hanzhong Liu, Center for Statistical Science, Tsinghua University
9:35 AM
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Time-Constrained Predictive Modeling on Large and Continuously Updating Financial Data Sets
Bernard Lee, HedgeSPA Limited; Nicos Christofides, Imperial College London
11:20 AM
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Cooperative Learning of Deep Energy-Based Model and Latent Variable Model via MCMC Teaching
Ying Nian Wu, UCLA
2:30 PM
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Local, Model-Agnostic Explanations of Machine Learning Predictions
Sameer Singh, University of California, Irvine
2:45 PM
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Think Deeper with Deep Learning
Saratendu Sethi, SAS Institute Inc.
2:55 PM
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Weight Normalized Deep Neural Networks
Xiao Wang , Purdue University; Yixi Xu, Purdue University
3:20 PM
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Thursday, 08/02/2018
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Leveraging Adiabatic Quantum Computation for Election Forecasting
Maxwell Henderson, QxBranch
8:35 AM
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Automatic Wildfire Smoke Plume Identification from Satellite Imagery with Machine Learning
Alexandra Larsen, North Carolina State University; Ana Rappold, U.S. Environmental Protection Agency; Yi Qin, The Commonwealth Scientific and Industrial Research Organisation; Martin Cope, The Commonwealth Scientific and Industrial Research Organisation; Geoffrey Morgan, The University of Sydney; Ivan Hannigan, The University of Sydney; Brian J. Reich, North Carolina State University
8:35 AM
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Statistical Properties of Deep Networks
Peter Bartlett, UC Berkeley
9:25 AM
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