Papers
Online Clustering of Bandits
Claudio Gentile, Shuai Li, Giovanni Zappella
Online combinatorial optimization with stochastic decision sets and adversarial losses
Gergely Neu, Michal Valko
Online Decision-Making in General Combinatorial Spaces
Arun Rajkumar, Shivani Agarwal
Online Gaming for Crowd-sourcing Phrase-equivalents
A. Kumaran, Melissa Densmore, Shaishav Kumar
Online Learning in Markov Decision Processes with Changing Cost Sequences
Travis Dick, Andras Gyorgy, Csaba Szepesvari
Online Learning in Tensor Space
Yuan Cao, Sanjeev Khudanpur
Online Learning with Composite Loss Functions
Ofer Dekel, Jian Ding, Tomer Koren et al.
Online Linear Optimization via Smoothing
Jacob Abernethy, Chansoo Lee, Abhinav Sinha et al.
Online matrix prediction for sparse loss matrices
Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto et al.
Online Multi-Task Learning for Policy Gradient Methods
Haitham Bou Ammar, Eric Eaton, Paul Ruvolo et al.
Online Non-Parametric Regression
Alexander Rakhlin, Karthik Sridharan
Online Object Tracking, Learning and Parsing with And-Or Graphs
Yang Lu, Tianfu Wu, Song Chun Zhu
Online Optimization for Max-Norm Regularization
Jie Shen, Huan Xu, Ping Li
Online Passive Aggressive Active Learning and Its Applications
Jing Lu, Peilin Zhao, Steven Hoi
Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion
Mathieu Blondel, Yotaro Kubo, Ueda Naonori
Online Stochastic Optimization under Correlated Bandit Feedback
Mohammad Gheshlaghi azar, Alessandro Lazaric, Emma Brunskill
Online topic model for Twitter considering dynamics of user interests and topic trends
Kentaro Sasaki, Tomohiro Yoshikawa, Takeshi Furuhashi
Online Trajectory Planning in Dynamic Environments for Surgical Task Automation
Takayuki Osa, Naohiko Sugita, Mamoru Mitsuishi
On Measure Concentration of Random Maximum A-Posteriori Perturbations
Francesco Orabona, Tamir Hazan, Anand Sarwate et al.
On Modelling Non-linear Topical Dependencies
Zhixing Li, Siqiang Wen, Juanzi Li et al.
On Model Parallelization and Scheduling Strategies for Distributed Machine Learning
Seunghak Lee, Jin Kyu Kim, Xun Zheng et al.
On Multilabel Classification and Ranking with Bandit Feedback
Claudio Gentile, Francesco Orabona
On Multiplicative Multitask Feature Learning
Xin Wang, Jinbo Bi, Shipeng Yu et al.
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection
Pratik Jawanpuria, Manik Varma, Saketha Nath
On Prior Distributions and Approximate Inference for Structured Variables
Oluwasanmi O Koyejo, Rajiv Khanna, Joydeep Ghosh et al.