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36 Results
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Spotlight
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Thu 7:30 |
Sparse Bayesian Learning via Stepwise Regression Sebastian Ament · Carla Gomes |
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Spotlight
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Thu 7:30 |
Oblivious Sketching for Logistic Regression Alexander Munteanu · Simon Omlor · David Woodruff |
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Poster
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Thu 9:00 |
Sparse Bayesian Learning via Stepwise Regression Sebastian Ament · Carla Gomes |
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Spotlight
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Thu 7:25 |
Representation Subspace Distance for Domain Adaptation Regression Xinyang Chen · Sinan Wang · Jianmin Wang · Mingsheng Long |
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Poster
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Thu 9:00 |
Oblivious Sketching for Logistic Regression Alexander Munteanu · Simon Omlor · David Woodruff |
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Poster
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Thu 9:00 |
Representation Subspace Distance for Domain Adaptation Regression Xinyang Chen · Sinan Wang · Jianmin Wang · Mingsheng Long |
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Spotlight
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Thu 7:35 |
Inference for Network Regression Models with Community Structure Mengjie Pan · Tyler Mccormick · Bailey Fosdick |
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Poster
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Thu 9:00 |
Inference for Network Regression Models with Community Structure Mengjie Pan · Tyler Mccormick · Bailey Fosdick |
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Spotlight
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Thu 6:20 |
In-Database Regression in Input Sparsity Time Rajesh Jayaram · Alireza Samadian · David Woodruff · Peng Ye |
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Poster
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Thu 9:00 |
Improved, Deterministic Smoothing for L_1 Certified Robustness Alexander Levine · Soheil Feizi |
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Oral
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Thu 6:00 |
Improved, Deterministic Smoothing for L_1 Certified Robustness Alexander Levine · Soheil Feizi |
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Oral
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Wed 7:00 |
Inferring serial correlation with dynamic backgrounds Song Wei · Yao Xie · Dobromir Rahnev |