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Poster
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Thu 6:00
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p-Norm Flow Diffusion for Local Graph Clustering
Kimon Fountoulakis · Di Wang · Shenghao Yang
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Poster
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Thu 14:00
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Regularized Optimal Transport is Ground Cost Adversarial
François-Pierre Paty · Marco Cuturi
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Poster
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Thu 9:00
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Accelerated Message Passing for Entropy-Regularized MAP Inference
Jonathan Lee · Aldo Pacchiano · Peter Bartlett · Michael Jordan
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Poster
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Wed 8:00
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Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory
Zhou Fan · Cheng Mao · Yihong Wu · Jiaming Xu
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Poster
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Tue 13:00
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Online Convex Optimization in the Random Order Model
Dan Garber · Gal Korcia · Kfir Levy
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Poster
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Thu 7:00
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Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence
Lijun Ding · Yingjie Fei · Qiantong Xu · Chengrun Yang
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Poster
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Wed 8:00
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On Coresets for Regularized Regression
Rachit Chhaya · Supratim Shit · Anirban Dasgupta
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Poster
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Tue 7:00
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Semismooth Newton Algorithm for Efficient Projections onto ℓ1,∞-norm Ball
Dejun Chu · Changshui Zhang · Shiliang Sun · Qing Tao
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Poster
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Tue 13:00
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Optimal Randomized First-Order Methods for Least-Squares Problems
Jonathan Lacotte · Mert Pilanci
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Poster
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Wed 13:00
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Estimating the Error of Randomized Newton Methods: A Bootstrap Approach
Miles Lopes · Jessie X.T. Chen
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Poster
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Thu 12:00
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Conditional gradient methods for stochastically constrained convex minimization
Maria-Luiza Vladarean · Ahmet Alacaoglu · Ya-Ping Hsieh · Volkan Cevher
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Poster
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Thu 7:00
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On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data
Di Wang · Hanshen Xiao · Srinivas Devadas · Jinhui Xu
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