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Poster
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Tue 10:45
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Spectral Modification of Graphs for Improved Spectral Clustering
Ioannis Koutis · Huong Le
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Poster
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Wed 17:00
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Neural Diffusion Distance for Image Segmentation
Jian Sun · Zongben Xu
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Poster
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Thu 17:00
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On Distributed Averaging for Stochastic k-PCA
Aditya Bhaskara · Pruthuvi Maheshakya Wijewardena
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Poster
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Wed 10:45
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Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees
Muhammad Osama · Dave Zachariah · Peter Stoica
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Poster
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Thu 17:00
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Selecting the independent coordinates of manifolds with large aspect ratios
Yu-Chia Chen · Marina Meila
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Poster
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Tue 10:45
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Backpropagation-Friendly Eigendecomposition
Wei Wang · Zheng Dang · Yinlin Hu · Pascal Fua · Mathieu Salzmann
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Poster
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Wed 10:45
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Latent distance estimation for random geometric graphs
Ernesto Araya Valdivia · De Castro Yohann
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Poster
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Tue 10:45
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On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems
Baekjin Kim · Ambuj Tewari
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Poster
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Wed 10:45
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A Stochastic Composite Gradient Method with Incremental Variance Reduction
Junyu Zhang · Lin Xiao
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Poster
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Thu 17:00
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Thinning for Accelerating the Learning of Point Processes
Tianbo Li · Yiping Ke
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Poster
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Thu 17:00
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Distributionally Robust Optimization and Generalization in Kernel Methods
Matt Staib · Stefanie Jegelka
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Poster
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Thu 17:00
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Learning metrics for persistence-based summaries and applications for graph classification
Qi Zhao · Yusu Wang
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