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Poster
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Wed 9:00
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Linear dynamical neural population models through nonlinear embeddings
Yuanjun Gao · Evan Archer · Liam Paninski · John Cunningham
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Poster
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Mon 9:00
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Nearly Isometric Embedding by Relaxation
James McQueen · Marina Meila · Dominique Perrault-Joncas
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Poster
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Wed 9:00
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A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization
Jingwei Liang · Jalal Fadili · Gabriel Peyré
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Poster
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Wed 9:00
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Multi-step learning and underlying structure in statistical models
Maia Fraser
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Poster
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Mon 9:00
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Distributed Flexible Nonlinear Tensor Factorization
Shandian Zhe · Kai Zhang · Pengyuan Wang · Kuang-chih Lee · Zenglin Xu · Yuan Qi · Zoubin Ghahramani
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Poster
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Wed 9:00
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High Dimensional Structured Superposition Models
Qilong Gu · Arindam Banerjee
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Oral
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Tue 2:40
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Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
Aapo Hyvarinen · Hiroshi Morioka
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Poster
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Tue 9:00
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Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA
Aapo Hyvarinen · Hiroshi Morioka
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Poster
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Tue 9:00
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Stochastic Variance Reduction Methods for Saddle-Point Problems
Balamurugan Palaniappan · Francis Bach
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Poster
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Tue 9:00
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Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods
Antoine Gautier · Quynh Nguyen · Matthias Hein
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Poster
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Wed 9:00
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Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
Ilija Bogunovic · Jonathan Scarlett · Andreas Krause · Volkan Cevher
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Poster
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Tue 9:00
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Dimensionality Reduction of Massive Sparse Datasets Using Coresets
Dan Feldman · Mikhail Volkov · Daniela Rus
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