Skip to yearly menu bar Skip to main content


Search All 2017 Events
 

199 Results

<<   <   Page 4 of 17   >   >>
Spotlight
Wed 17:20 Multi-Information Source Optimization
Matthias Poloczek · Jialei Wang · Peter Frazier
Poster
Tue 18:30 Preventing Gradient Explosions in Gated Recurrent Units
Sekitoshi Kanai · Yasuhiro Fujiwara · Sotetsu Iwamura
Spotlight
Wed 17:05 An Empirical Bayes Approach to Optimizing Machine Learning Algorithms
James McInerney
Spotlight
Wed 15:40 Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization
Omar El Housni · Vineet Goyal
Spotlight
Wed 15:40 Learning Combinatorial Optimization Algorithms over Graphs
Elias Khalil · Hanjun Dai · Yuyu Zhang · Bistra Dilkina · Le Song
Spotlight
Wed 15:45 Straggler Mitigation in Distributed Optimization Through Data Encoding
Can Karakus · Yifan Sun · Suhas Diggavi · Wotao Yin
Spotlight
Wed 15:20 Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization
Fabian Pedregosa · Rémi Leblond · Simon Lacoste-Julien
Spotlight
Wed 15:25 Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure
Alberto Bietti · Julien Mairal
Poster
Mon 18:30 Inference in Graphical Models via Semidefinite Programming Hierarchies
Murat Erdogdu · Yash Deshpande · Andrea Montanari
Oral
Wed 11:05 Gradient descent GAN optimization is locally stable
Vaishnavh Nagarajan · J. Zico Kolter
Poster
Mon 18:30 k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms
Cong Han Lim · Stephen Wright
Poster
Tue 18:30 Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization
Tomoya Murata · Taiji Suzuki