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47 Results
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Poster
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Wed 18:30 |
Learning to Pivot with Adversarial Networks Gilles Louppe · Michael Kagan · Kyle Cranmer |
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Poster
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Wed 18:30 |
Nonparametric Online Regression while Learning the Metric Ilja Kuzborskij · Nicolò Cesa-Bianchi |
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Poster
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Mon 18:30 |
Adversarial Surrogate Losses for Ordinal Regression Rizal Fathony · Mohammad Ali Bashiri · Brian Ziebart |
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Poster
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Tue 18:30 |
Learning with Average Top-k Loss Yanbo Fan · Siwei Lyu · Yiming Ying · Baogang Hu |
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Spotlight
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Wed 17:15 |
Multiresolution Kernel Approximation for Gaussian Process Regression Yi Ding · Risi Kondor · Jonathan Eskreis-Winkler |
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Poster
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Mon 18:30 |
Parametric Simplex Method for Sparse Learning Haotian Pang · Han Liu · Robert J Vanderbei · Tuo Zhao |
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Spotlight
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Tue 15:35 |
Unbiased estimates for linear regression via volume sampling Michal Derezinski · Manfred K. Warmuth |
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Spotlight
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Tue 15:25 |
Generalized Linear Model Regression under Distance-to-set Penalties Jason Xu · Eric Chi · Kenneth Lange |
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Poster
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Tue 18:30 |
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models Adarsh Prasad · Alexandru Niculescu-Mizil · Pradeep Ravikumar |
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Poster
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Tue 18:30 |
When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent Mert Gurbuzbalaban · Asuman Ozdaglar · Pablo A Parrilo · Nuri Vanli |
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Poster
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Wed 18:30 |
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening Kevin Lin · James Sharpnack · Alessandro Rinaldo · Ryan Tibshirani |
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Poster
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Mon 18:30 |
Learning with Feature Evolvable Streams Bo-Jian Hou · Lijun Zhang · Zhi-Hua Zhou |