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615 Results
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Poster
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Wed 17:00 |
Sparse Variational Inference: Bayesian Coresets from Scratch Trevor Campbell · Boyan Beronov |
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Poster
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Tue 17:30 |
Multiclass Learning from Contradictions Sauptik Dhar · Vladimir Cherkassky · Mohak Shah |
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Poster
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Wed 10:45 |
Regularized Gradient Boosting Corinna Cortes · Mehryar Mohri · Dmitry Storcheus |
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Poster
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Thu 17:00 |
On Distributed Averaging for Stochastic k-PCA Aditya Bhaskara · Pruthuvi Maheshakya Wijewardena |
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Poster
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Thu 17:00 |
Deep Leakage from Gradients Ligeng Zhu · Zhijian Liu · Song Han |
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Poster
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Thu 10:45 |
Large Scale Adversarial Representation Learning Jeff Donahue · Karen Simonyan |
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Poster
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Tue 17:30 |
Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation zengfeng Huang · Ziyue Huang · Yilei WANG · Ke Yi |
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Poster
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Tue 10:45 |
Efficient online learning with kernels for adversarial large scale problems Rémi Jézéquel · Pierre Gaillard · Alessandro Rudi |
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Poster
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Thu 10:45 |
The Impact of Regularization on High-dimensional Logistic Regression Fariborz Salehi · Ehsan Abbasi · Babak Hassibi |
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Poster
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Thu 17:00 |
Selecting the independent coordinates of manifolds with large aspect ratios Yu-Chia Chen · Marina Meila |
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Poster
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Wed 10:45 |
Combinatorial Inference against Label Noise Paul Hongsuck Seo · Geeho Kim · Bohyung Han |
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Poster
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Thu 10:45 |
Invert to Learn to Invert Patrick Putzky · Max Welling |