Papers
Online Learning for Latent Dirichlet Allocation
Matthew Hoffman, Francis R. Bach, David M. Blei
Online Learning for Matrix Factorization and Sparse Coding
Julien Mairal, Francis Bach, Jean Ponce et al.
Online Learning in The Manifold of Low-Rank Matrices
Uri Shalit, Daphna Weinshall, Gal Chechik
Online Learning: Random Averages, Combinatorial Parameters, and Learnability
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
Online Markov Decision Processes under Bandit Feedback
Gergely Neu, Andras Antos, András György et al.
Online Passive-Aggressive Algorithms on a Budget
Zhuang Wang, Slobodan Vucetic
On-Line Sequential Bin Packing
András György, Gábor Lugosi, György Ottucsà
On motion and force controllability of grasping hands with postural synergies
D. Pratichizzo, M. Malvezzi and A. Bicchi
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
Gavin C. Cawley, Nicola L. C. Talbot
On Spectral Learning
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil
On the Convergence Properties of Contrastive Divergence
Ilya Sutskever, Tijmen Tieleman
On the Convexity of Latent Social Network Inference
Seth Myers, Jure Leskovec
On the Foundations of Noise-free Selective Classification
Ran El-Yaniv, Yair Wiener
On the Impact of Kernel Approximation on Learning Accuracy
Corinna Cortes, Mehryar Mohri, Ameet Talwalkar
On the kinematic design of exoskeletons and their fixations with a human member
N. Jarrasse and G. Morel
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate
Gérard Biau, Frédéric Cérou, Arnaud Guyader
On the relation between universality, characteristic kernels and RKHS embedding of measures
Bharath Sriperumbudur, Kenji Fukumizu, Gert Lanckriet
On the Role of Hand Synergies in the Optimal Choice of Grasping Forces
M. Gabiccini and A. Bicchi
On the Theory of Learnining with Privileged Information
Dmitry Pechyony, Vladimir Vapnik
Optimal Allocation Strategies for the Dark Pool Problem
Alekh Agarwal, Peter Bartlett, Max Dama
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets
Paolo Viappiani, Craig Boutilier
Optimal learning rates for Kernel Conjugate Gradient regression
Gilles Blanchard, Nicole Krämer
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
Kaname Kojima, Eric Perrier, Seiya Imoto et al.
Optimal Web-Scale Tiering as a Flow Problem
Gilbert Leung, Novi Quadrianto, Kostas Tsioutsiouliklis et al.
Over-complete representations on recurrent neural networks can support persistent percepts
Shaul Druckmann, Dmitri B. Chklovskii