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Differentially Private Robust Low-Rank Approximation
Raman Arora, Vladimir braverman, Jalaj Upadhyay
Is Interaction Necessaryfor Distributed Private Learning?
Rethinking Kernel Methods for Node Representation Learning on Graphs
Yu Tian, Long Zhao, Xi Peng, Dimitris Metaxas
Thegraphkernelfunction can be utilized toclassify graphs via standard kernel methods such assupport vector machines or k-nearest neighbors.
Surround Modulation: A Bio-inspired Connectivity Structure for Convolutional Neural Networks
Hosein Hasani, Mahdieh Soleymani, Hamid Aghajan
Neural Information Processing Systems http://nips.cc/
Fast Similarity Search via Optimal Sparse Lifting
Wenye Li, Jingwei Mao, Yin Zhang, Shuguang Cui
Neural Information Processing Systems http://nips.cc/
Learning Safe Policies with Expert Guidance
Jessie Huang, Fa Wu, Doina Precup, Yang Cai
Neural Information Processing Systems http://nips.cc/
On the Inductive Bias of Neural Tangent Kernels
Neural Information Processing Systems http://nips.cc/
Efficient nonmyopic batch active search
Shali Jiang, Gustavo Malkomes, Matthew Abbott, Benjamin Moseley, Roman Garnett
A critical target scenario is high-throughput screening for scientific discovery, such as drug or materials discovery.