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Poster
Wed 9:00 Large Margin Discriminant Dimensionality Reduction in Prediction Space
Ehsan Saberian · Jose Costa Pereira · Nuno Nvasconcelos · Can Xu
Poster
Tue 9:00 Learning Structured Sparsity in Deep Neural Networks
Wei Wen · Chunpeng Wu · Yandan Wang · Yiran Chen · Hai Li
Poster
Mon 9:00 Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning
Mehdi Sajjadi · Mehran Javanmardi · Tolga Tasdizen
Poster
Mon 9:00 Sparse Support Recovery with Non-smooth Loss Functions
Kévin Degraux · Gabriel Peyré · Jalal Fadili · Laurent Jacques
Poster
Mon 9:00 Stochastic Optimization for Large-scale Optimal Transport
Aude Genevay · Marco Cuturi · Gabriel Peyré · Francis Bach
Poster
Wed 9:00 Solving Marginal MAP Problems with NP Oracles and Parity Constraints
Yexiang Xue · zhiyuan li · Stefano Ermon · Carla Gomes · Bart Selman
Poster
Tue 9:00 Minimizing Quadratic Functions in Constant Time
Kohei Hayashi · Yuichi Yoshida
Poster
Tue 9:00 A primal-dual method for conic constrained distributed optimization problems
Necdet Serhat Aybat · Erfan Yazdandoost Hamedani
Poster
Tue 9:00 Stochastic Variance Reduction Methods for Saddle-Point Problems
Balamurugan Palaniappan · Francis Bach
Poster
Tue 9:00 Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences
Hongseok Namkoong · John Duchi
Poster
Tue 9:00 Incremental Variational Sparse Gaussian Process Regression
Ching-An Cheng · Byron Boots
Poster
Wed 9:00 Generating Videos with Scene Dynamics
Carl Vondrick · Hamed Pirsiavash · Antonio Torralba