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27 Results

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Poster
Thu 12:00 Online Multi-Kernel Learning with Graph-Structured Feedback
Pouya M Ghari · Yanning Shen
Poster
Wed 8:00 Randomly Projected Additive Gaussian Processes for Regression
Ian Delbridge · David S Bindel · Andrew Wilson
Poster
Wed 5:00 Dynamics of Deep Neural Networks and Neural Tangent Hierarchy
Jiaoyang Huang · Horng-Tzer Yau
Workshop
Sat 6:25 Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes
Joachim Schreurs · Michaël Fanuel · Johan Suykens
Poster
Wed 10:00 Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health
Liangyu Zhu · Wenbin Lu · Rui Song
Poster
Wed 12:00 Implicit Regularization of Random Feature Models
Arthur Jacot · Berfin Simsek · Francesco Spadaro · Clement Hongler · Franck Gabriel
Poster
Thu 6:00 Graph Homomorphism Convolution
Hoang NT · Takanori Maehara
Poster
Tue 8:00 Nonparametric Score Estimators
Yuhao Zhou · Jiaxin Shi · Jun Zhu
Poster
Tue 10:00 Harmonic Decompositions of Convolutional Networks
Meyer Scetbon · Zaid Harchaoui
Poster
Thu 6:00 Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space
Yingyi Ma · Vignesh Ganapathiraman · Yaoliang Yu · Xinhua Zhang
Poster
Tue 11:00 Kernel Methods for Cooperative Multi-Agent Contextual Bandits
Abhimanyu Dubey · Alex `Sandy' Pentland
Poster
Wed 16:00 Non-separable Non-stationary random fields
Kangrui Wang · Oliver Hamelijnck · Theodoros Damoulas · Mark Steel