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Poster
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Tue 17:30
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Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems
Yi Xu · Rong Jin · Tianbao Yang
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Poster
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Tue 10:45
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Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples
Tengyu Xu · Shaofeng Zou · Yingbin Liang
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Poster
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Wed 10:45
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Partitioning Structure Learning for Segmented Linear Regression Trees
Xiangyu Zheng · Song Xi Chen
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Poster
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Wed 10:45
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Coresets for Archetypal Analysis
Sebastian Mair · Ulf Brefeld
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Poster
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Wed 10:45
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A Refined Margin Distribution Analysis for Forest Representation Learning
Shen-Huan Lyu · Liang Yang · Zhi-Hua Zhou
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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 17:00
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Decentralized sketching of low rank matrices
Rakshith Sharma Srinivasa · Kiryung Lee · Marius Junge · Justin Romberg
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Poster
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Thu 10:45
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Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
Difan Zou · Ziniu Hu · Yewen Wang · Song Jiang · Yizhou Sun · Quanquan Gu
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