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64 Results
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Poster
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Wed 10:45 |
Manifold-regression to predict from MEG/EEG brain signals without source modeling David Sabbagh · Pierre Ablin · Gael Varoquaux · Alexandre Gramfort · Denis A. Engemann |
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Poster
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Thu 17:00 |
Chirality Nets for Human Pose Regression Raymond A. Yeh · Yuan-Ting Hu · Alex Schwing |
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Poster
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Tue 17:30 |
Asymptotics for Sketching in Least Squares Regression Edgar Dobriban · Sifan Liu |
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Poster
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Tue 17:30 |
Weighted Linear Bandits for Non-Stationary Environments Yoan Russac · Claire Vernade · Olivier Cappé |
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Poster
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Thu 17:00 |
Globally Optimal Learning for Structured Elliptical Losses Yoav Wald · Nofar Noy · Gal Elidan · Ami Wiesel |
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Oral
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Tue 10:05 |
Kernel Instrumental Variable Regression Rahul Singh · Maneesh Sahani · Arthur Gretton |
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Poster
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Tue 17:30 |
Efficient Symmetric Norm Regression via Linear Sketching Zhao Song · Ruosong Wang · Lin Yang · Hongyang Zhang · Peilin Zhong |
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Spotlight
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Tue 10:20 |
List-decodable Linear Regression Sushrut Karmalkar · Adam Klivans · Pravesh Kothari |
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Spotlight
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Wed 10:20 |
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models Shanshan Wu · Sujay Sanghavi · Alex Dimakis |
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Spotlight
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Wed 10:35 |
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG Yujia Jin · Aaron Sidford |
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Oral
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Thu 16:25 |
On Robustness of Principal Component Regression Anish Agarwal · Devavrat Shah · Dennis Shen · Dogyoon Song |
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Workshop
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Sat 14:15 |
Contributed Talk - Chirality Nets: Exploiting Structure in Human Pose Regression Raymond A. Yeh · Yuan-Ting Hu · Alex Schwing |