Papers
On learning to localize objects with minimal supervision
Hyun Oh Song, Ross Girshick, Stefanie Jegelka et al.
Online Bayesian Passive-Aggressive Learning
Tianlin Shi, Jun Zhu
Online Clustering of Bandits
Claudio Gentile, Shuai Li, Giovanni Zappella
Online Learning in Markov Decision Processes with Changing Cost Sequences
Travis Dick, Andras Gyorgy, Csaba Szepesvari
Online Multi-Task Learning for Policy Gradient Methods
Haitham Bou Ammar, Eric Eaton, Paul Ruvolo et al.
Online Stochastic Optimization under Correlated Bandit Feedback
Mohammad Gheshlaghi azar, Alessandro Lazaric, Emma Brunskill
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 p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection
Pratik Jawanpuria, Manik Varma, Saketha Nath
On Robustness and Regularization of Structural Support Vector Machines
Mohamad Ali Torkamani, Daniel Lowd
On the convergence of no-regret learning in selfish routing
Walid Krichene, Benjamin Drighès, Alexandre Bayen
Optimal Budget Allocation: Theoretical Guarantee and Efficient Algorithm
Tasuku Soma, Naonori Kakimura, Kazuhiro Inaba et al.
Optimal Mean Robust Principal Component Analysis
Feiping Nie, Jianjun Yuan, Heng Huang
Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing
Yuan Zhou, Xi Chen, Jian Li
Optimization Equivalence of Divergences Improves Neighbor Embedding
Zhirong Yang, Jaakko Peltonen, Samuel Kaski
Outlier Path: A Homotopy Algorithm for Robust SVM
Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama et al.
PAC-inspired Option Discovery in Lifelong Reinforcement Learning
Emma Brunskill, Lihong Li
Pitfalls in the use of Parallel Inference for the Dirichlet Process
Yarin Gal, Zoubin Ghahramani
Prediction with Limited Advice and Multiarmed Bandits with Paid Observations
Yevgeny Seldin, Peter Bartlett, Koby Crammer et al.
Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows
Robert Busa-Fekete, Eyke Huellermeier, Balázs Szörényi
Preserving Modes and Messages via Diverse Particle Selection
Jason Pacheco, Silvia Zuffi, Michael Black et al.
Probabilistic Matrix Factorization with Non-random Missing Data
Jose Miguel Hernandez-Lobato, Neil Houlsby, Zoubin Ghahramani
Probabilistic Partial Canonical Correlation Analysis
Yusuke Mukuta, Harada
Programming by Feedback
Marc Schoenauer, Riad Akrour, Michele Sebag et al.
Provable Bounds for Learning Some Deep Representations
Sanjeev Arora, Aditya Bhaskara, Rong Ge et al.