|
Poster
|
Wed 18:30
|
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
Evan Racah · Christopher Beckham · Tegan Maharaj · Samira Ebrahimi Kahou · Mr. Prabhat · Chris Pal
|
|
|
Poster
|
Tue 18:30
|
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Xingjian Shi · Zhihan Gao · Leonard Lausen · Hao Wang · Dit-Yan Yeung · Wai-kin Wong · Wang-chun WOO
|
|
|
Workshop
|
Fri 16:00
|
Hai S Le (WUSTL) on Precision-Recall versus Accuracy and the Role of Large Data Sets
Hai Le
|
|
|
Workshop
|
Fri 16:05
|
Automatic Chemical Design Using a Data-driven Continuous Representation of Molecules
David Duvenaud
|
|
|
Workshop
|
Fri 10:15
|
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting. Yaguang Li, Rose Yu, Cyrus Shahabi and Yan Liu.
Yaguang Li
|
|
|
Workshop
|
Fri 9:00
|
A Data-Driven Sparse-Learning Approach to Model Reduction in Chemical Reaction Networks
FARSHAD HARIRCHI
|
|
|
Poster
|
Tue 18:30
|
Generalized Linear Model Regression under Distance-to-set Penalties
Jason Xu · Eric Chi · Kenneth Lange
|
|
|
Spotlight
|
Tue 15:25
|
Generalized Linear Model Regression under Distance-to-set Penalties
Jason Xu · Eric Chi · Kenneth Lange
|
|
|
Poster
|
Tue 18:30
|
Practical Data-Dependent Metric Compression with Provable Guarantees
Piotr Indyk · Ilya Razenshteyn · Tal Wagner
|
|
|
Poster
|
Tue 18:30
|
Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs
Rowan McAllister · Carl Edward Rasmussen
|
|
|
Workshop
|
Fri 11:00
|
Data-dependent methods for similarity search in high dimensions
Piotr Indyk
|
|
|
Workshop
|
Fri 9:50
|
Contributed talk: Household poverty classification in data-scarce environments: a machine learning approach
Varun Kshirsagar
|
|
