Papers
Online Robust PCA via Stochastic Optimization
Jiashi Feng, Huan Xu, Shuicheng Yan
Online Similarity Prediction of Networked Data from Known and Unknown Graphs
Claudio Gentile, Mark Herbster, Stephen Pasteris
Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking
Ryan D Turner, Steven Bottone, Clay J Stanek
Online Video SEEDS for Temporal Window Objectness
Michael Van Den Bergh, Gemma Roig, Xavier Boix et al.
On model selection consistency of penalized M-estimators: a geometric theory
Jason Lee, Yuekai Sun, Jonathan E Taylor
On multi-class classification through the minimization of the confusion matrix norm
Sokol Koço, Cécile Capponi
On One-Shot Similarity Kernels: Explicit Feature Maps and Properties
Stefanos Zafeiriou, Irene Kotsia
On Poisson Graphical Models
Eunho Yang, Pradeep K Ravikumar, Genevera I Allen et al.
On Provably Safe Obstacle Avoidance for Autonomous Robotic Ground Vehicles
Stefan Mitsch, Khalil Ghorbal, Andre Platzer
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations
Tamir Hazan, Subhransu Maji, Tommi Jaakkola
On the Asymptotic Optimality of Maximum Margin Bayesian Networks
Sebastian Tschiatschek, Franz Pernkopf
On the Complexity and Approximation of Binary Evidence in Lifted Inference
Guy Van den Broeck, Adnan Darwiche
On the Convergence of Maximum Variance Unfolding
Ery Arias-Castro, Bruno Pelletier
On the difficulty of training recurrent neural networks
Razvan Pascanu, Tomas Mikolov, Yoshua Bengio
On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions
Purushottam Kar, Bharath Sriperumbudur, Prateek Jain et al.
On the importance of initialization and momentum in deep learning
Ilya Sutskever, James Martens, George Dahl et al.
On the Learnability of Shuffle Ideals
Dana Angluin, James Aspnes, Sarah Eisenstat et al.
On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization
Ke Hou, Zirui Zhou, Anthony Man-Cho So et al.
On the Mean Curvature Flow on Graphs with Applications in Image and Manifold Processing
Abdallah El Chakik, Abderrahim Elmoataz, Ahcene Sadi
On the Mutual Nearest Neighbors Estimate in Regression
Arnaud Guyader, Nick Hengartner
On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation
Harikrishna Narasimhan, Shivani Agarwal
On the Representational Efficiency of Restricted Boltzmann Machines
James Martens, Arkadev Chattopadhya, Toni Pitassi et al.
On the Sample Complexity of Subspace Learning
Alessandro Rudi, Guillermo D Canas, Lorenzo Rosasco
On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance
Aditya Menon, Harikrishna Narasimhan, Shivani Agarwal et al.