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Workshop
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Sat 5:30
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Francis Bach. Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression.
Francis Bach
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Workshop
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Sat 0:25
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Multiple Output Regression with Latent Noise.
Jussi Gillberg
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Workshop
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Fri 0:30
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Hyunjik Kim: Scaling up the Automatic Statistician: Scalable Structure Discovery in Regression using Gaussian Processes
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Poster
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Tue 9:00
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Incremental Variational Sparse Gaussian Process Regression
Ching-An Cheng · Byron Boots
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Poster
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Wed 9:00
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Feature-distributed sparse regression: a screen-and-clean approach
Jiyan Yang · Michael Mahoney · Michael Saunders · Yuekai Sun
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Poster
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Wed 9:00
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Linear Contextual Bandits with Knapsacks
Shipra Agrawal · Nikhil Devanur
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Poster
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Tue 9:00
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Mixed Linear Regression with Multiple Components
Kai Zhong · Prateek Jain · Inderjit Dhillon
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Poster
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Mon 9:00
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Sparse Support Recovery with Non-smooth Loss Functions
Kévin Degraux · Gabriel Peyré · Jalal Fadili · Laurent Jacques
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Poster
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Wed 9:00
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Launch and Iterate: Reducing Prediction Churn
Mahdi Milani Fard · Quentin Cormier · Kevin Canini · Maya Gupta
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Poster
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Wed 9:00
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The Multiple Quantile Graphical Model
Alnur Ali · J. Zico Kolter · Ryan Tibshirani
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Poster
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Tue 9:00
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Supervised learning through the lens of compression
Ofir David · Shay Moran · Amir Yehudayoff
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Workshop
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Sat 2:25
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Kangwook Lee, KAIST -- Machine Learning Approaches for Learning Analytics: Collaborative Filtering Or Regression With Experts?
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