Papers
OCR++: A Robust Framework For Information Extraction from Scholarly Articles
Mayank Singh, Barnopriyo Barua, Priyank Palod et al.
OLPS: A Toolbox for On-Line Portfolio Selection
Bin Li, Doyen Sahoo, Steven C.H. Hoi
On Bayesian Network Inference with Simple Propagation
Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos et al.
On Bayes Risk Lower Bounds
Xi Chen, Adityanand Guntuboyina, Yuchen Zhang
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity
Haichuan Yang, Yijun Huang, Lam Tran et al.
On collapsed representation of hierarchical Completely Random Measures
Gaurav Pandey, Ambedkar Dukkipati
On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification
Yi Tan, Prakash P. Shenoy, Moses W. Chan et al.
On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System
Yi Zhou, Yaoliang Yu, Wei Dai et al.
On Discriminative Framework for Single Channel Audio Source Separation
Arpita Gang, Pravesh Biyani
One-class classification of point patterns of extremes
Stijn Luca, David A. Clifton, Bart Vanrumste
On Employing a Highly Mismatched Crowd for Speech Transcription
Purushotam Radadia, Rahul Kumar, Kanika Kalra et al.
One-Shot Generalization in Deep Generative Models
Danilo Rezende, Shakir, Ivo Danihelka et al.
One-Shot Learning of Scene Locations via Feature Trajectory Transfer
Roland Kwitt, Sebastian Hegenbart, Marc Niethammer
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities
Michalis Titsias RC AUEB
On Explore-Then-Commit strategies
Aurelien Garivier, Tor Lattimore, Emilie Kaufmann
On Graduated Optimization for Stochastic Non-Convex Problems
Elad Hazan, Kfir Yehuda Levy, Shai Shalev-Shwartz
On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability
Guillaume Papa, Aurélien Bellet, Stephan Clémençon
Online Algorithms for Sum-Product Networks with Continuous Variables
Priyank Jaini, Abdullah Rashwan, Han Zhao et al.
Online and Differentially-Private Tensor Decomposition
Yining Wang, Anima Anandkumar
Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks
Abdullah Rashwan, Han Zhao, Pascal Poupart
Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees
Jinchun Zhan, Brian Lois, Han Guo et al.
Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics
Wei-Shou Hsu, Pascal Poupart
Online Collaborative Learning for Open-Vocabulary Visual Classifiers
Hanwang Zhang, Xindi Shang, Wenzhuo Yang et al.
Online Convex Optimization with Unconstrained Domains and Losses
Ashok Cutkosky, Kwabena A. Boahen