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