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151 Results
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Poster
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Wed 10:00 |
Small-GAN: Speeding up GAN Training using Core-Sets Samrath Sinha · Han Zhang · Anirudh Goyal · Yoshua Bengio · Hugo Larochelle · Augustus Odena |
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Poster
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Tue 15:00 |
Interferometric Graph Transform: a Deep Unsupervised Graph Representation Edouard Oyallon |
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Poster
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Thu 9:00 |
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection Mao Ye · Chengyue Gong · Lizhen Nie · Denny Zhou · Adam Klivans · Qiang Liu |
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Poster
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Thu 6:00 |
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization Quoc Tran-Dinh · Nhan H Pham · Lam Nguyen |
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Poster
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Thu 12:00 |
Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains Johannes Fischer · Ömer Sahin Tas |
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Poster
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Thu 8:00 |
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC Wei Deng · Qi Feng · Liyao Gao · Faming Liang · Guang Lin |
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Poster
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Wed 8:00 |
Negative Sampling in Semi-Supervised learning John Chen · Vatsal Shah · Anastasios Kyrillidis |
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Poster
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Tue 7:00 |
On the Generalization Effects of Linear Transformations in Data Augmentation Sen Wu · Hongyang Zhang · Gregory Valiant · Christopher Re |
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Poster
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Tue 7:00 |
Self-Concordant Analysis of Frank-Wolfe Algorithms Pavel Dvurechenskii · Petr Ostroukhov · Kamil Safin · Shimrit Shtern · Mathias Staudigl |
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Poster
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Tue 11:00 |
Learning Deep Kernels for Non-Parametric Two-Sample Tests Feng Liu · Wenkai Xu · Jie Lu · Guangquan Zhang · Arthur Gretton · D.J. Sutherland |
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Poster
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Tue 7:00 |
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 9:00 |
Nearly Linear Row Sampling Algorithm for Quantile Regression Yi Li · Ruosong Wang · Lin Yang · Hanrui Zhang |