Papers
Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning
Xingguo Li, Tuo Zhao, Raman Arora et al.
On the Iteration Complexity of Oblivious First-Order Optimization Algorithms
Yossi Arjevani, Ohad Shamir
BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces
Shane Carr, Roman Garnett, Cynthia Lo
A Comparative Analysis and Study of Multiview CNN Models for Joint Object Categorization and Pose Estimation
Mohamed Elhoseiny, Tarek El-Gaaly, Amr Bakry et al.
PAC Lower Bounds and Efficient Algorithms for The Max K-Armed Bandit Problem
Yahel David, Nahum Shimkin
Correlation Clustering and Biclustering with Locally Bounded Errors
Gregory Puleo, Olgica Milenkovic
A New PAC-Bayesian Perspective on Domain Adaptation
Pascal Germain, Amaury Habrard, François Laviolette et al.
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms
Mathieu Blondel, Masakazu Ishihata, Akinori Fujino et al.
Estimating Structured Vector Autoregressive Models
Igor Melnyk, Arindam Banerjee
PAC learning of Probabilistic Automaton based on the Method of Moments
Hadrien Glaude, Olivier Pietquin
Online Learning with Feedback Graphs Without the Graphs
Alon Cohen, Tamir Hazan, Tomer Koren
The Information-Theoretic Requirements of Subspace Clustering with Missing Data
Daniel Pimentel-Alarcon, Robert Nowak
Minimizing the Maximal Loss: How and Why
Shai Shalev-Shwartz, Yonatan Wexler
Primal-Dual Rates and Certificates
Celestine Dünner, Simone Forte, Martin Takac et al.
On the Quality of the Initial Basin in Overspecified Neural Networks
Itay Safran, Ohad Shamir
A Neural Autoregressive Approach to Collaborative Filtering
Yin Zheng, Bangsheng Tang, Wenkui Ding et al.
Heteroscedastic Sequences: Beyond Gaussianity
Oren Anava, Shie Mannor
SDCA without Duality, Regularization, and Individual Convexity
Shai Shalev-Shwartz
Hyperparameter optimization with approximate gradient
Fabian Pedregosa
Doubly Decomposing Nonparametric Tensor Regression
Masaaki Imaizumi, Kohei Hayashi
Analysis of Deep Neural Networks with Extended Data Jacobian Matrix
Shengjie Wang, Abdel-rahman Mohamed, Rich Caruana et al.
Loss factorization, weakly supervised learning and label noise robustness
Giorgio Patrini, Frank Nielsen, Richard Nock et al.
Variance Reduction for Faster Non-Convex Optimization
Zeyuan Allen-Zhu, Elad Hazan
Community Recovery in Graphs with Locality
Yuxin Chen, Govinda Kamath, Changho Suh et al.