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Poster
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Wed 14:00
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Natasha 2: Faster Non-Convex Optimization Than SGD
Zeyuan Allen-Zhu
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Poster
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Wed 14:00
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Alternating optimization of decision trees, with application to learning sparse oblique trees
Miguel A. Carreira-Perpinan · Pooya Tavallali
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Poster
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Wed 14:00
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Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates
Krishnakumar Balasubramanian · Saeed Ghadimi
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Poster
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Wed 7:45
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An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression
Sheng Chen · Arindam Banerjee
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Poster
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Wed 14:00
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Simple random search of static linear policies is competitive for reinforcement learning
Horia Mania · Aurelia Guy · Benjamin Recht
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Poster
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Tue 14:00
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Provably Correct Automatic Sub-Differentiation for Qualified Programs
Sham Kakade · Jason Lee
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Poster
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Wed 14:00
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Stochastic Expectation Maximization with Variance Reduction
Jianfei Chen · Jun Zhu · Yee Whye Teh · Tong Zhang
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Poster
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Wed 14:00
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Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues
Soumendu Sundar Mukherjee · Purnamrita Sarkar · Y. X. Rachel Wang · Bowei Yan
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Poster
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Thu 14:00
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(Probably) Concave Graph Matching
Haggai Maron · Yaron Lipman
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Poster
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Thu 7:45
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Communication Compression for Decentralized Training
Hanlin Tang · Shaoduo Gan · Ce Zhang · Tong Zhang · Ji Liu
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Poster
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Wed 14:00
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Benefits of over-parameterization with EM
Ji Xu · Daniel Hsu · Arian Maleki
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Poster
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Tue 14:00
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Step Size Matters in Deep Learning
Kamil Nar · Shankar Sastry
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