Spotlight
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Wed 17:20
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Multi-Information Source Optimization
Matthias Poloczek · Jialei Wang · Peter Frazier
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Poster
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Tue 18:30
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Preventing Gradient Explosions in Gated Recurrent Units
Sekitoshi Kanai · Yasuhiro Fujiwara · Sotetsu Iwamura
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Spotlight
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Wed 17:05
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An Empirical Bayes Approach to Optimizing Machine Learning Algorithms
James McInerney
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Spotlight
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Wed 15:40
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Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization
Omar El Housni · Vineet Goyal
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Spotlight
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Wed 15:40
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Learning Combinatorial Optimization Algorithms over Graphs
Elias Khalil · Hanjun Dai · Yuyu Zhang · Bistra Dilkina · Le Song
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Spotlight
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Wed 15:45
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Straggler Mitigation in Distributed Optimization Through Data Encoding
Can Karakus · Yifan Sun · Suhas Diggavi · Wotao Yin
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Spotlight
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Wed 15:20
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Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization
Fabian Pedregosa · Rémi Leblond · Simon Lacoste-Julien
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Spotlight
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Wed 15:25
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Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure
Alberto Bietti · Julien Mairal
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Poster
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Mon 18:30
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Inference in Graphical Models via Semidefinite Programming Hierarchies
Murat Erdogdu · Yash Deshpande · Andrea Montanari
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Oral
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Wed 11:05
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Gradient descent GAN optimization is locally stable
Vaishnavh Nagarajan · J. Zico Kolter
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Poster
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Mon 18:30
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k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms
Cong Han Lim · Stephen Wright
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Poster
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Tue 18:30
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Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization
Tomoya Murata · Taiji Suzuki
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