Poster
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Tue 18:30
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Deep Mean-Shift Priors for Image Restoration
Siavash Arjomand Bigdeli · Matthias Zwicker · Paolo Favaro · Meiguang Jin
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Poster
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Wed 18:30
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Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
Xiangru Lian · Ce Zhang · Huan Zhang · Cho-Jui Hsieh · Wei Zhang · Ji Liu
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Poster
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Tue 18:30
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Gradient Descent Can Take Exponential Time to Escape Saddle Points
Simon Du · Chi Jin · Jason D Lee · Michael Jordan · Aarti Singh · Barnabas Poczos
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Poster
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Tue 18:30
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Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks
Ziming Zhang · Matthew Brand
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Poster
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Tue 18:30
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Finite sample analysis of the GTD Policy Evaluation Algorithms in Markov Setting
Yue Wang · Wei Chen · Yuting Liu · Zhi-Ming Ma · Tie-Yan Liu
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Poster
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Wed 18:30
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Multi-Information Source Optimization
Matthias Poloczek · Jialei Wang · Peter Frazier
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Poster
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Wed 18:30
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Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Elad Hoffer · Itay Hubara · Daniel Soudry
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Poster
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Mon 18:30
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Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds
Yuanyuan Liu · Fanhua Shang · James Cheng · Hong Cheng · Licheng Jiao
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Poster
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Mon 18:30
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On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks
Arturs Backurs · Piotr Indyk · Ludwig Schmidt
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Oral
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Tue 10:55
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Robust Optimization for Non-Convex Objectives
Robert S Chen · Brendan Lucier · Yaron Singer · Vasilis Syrgkanis
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Poster
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Mon 18:30
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Non-convex Finite-Sum Optimization Via SCSG Methods
Lihua Lei · Cheng Ju · Jianbo Chen · Michael Jordan
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Poster
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Wed 18:30
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Position-based Multiple-play Bandit Problem with Unknown Position Bias
Junpei Komiyama · Junya Honda · Akiko Takeda
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