Papers
173,579 papers found
Online allocation and homogeneous partitioning for piecewise constant mean-approximation
Alexandra Carpentier, Odalric-ambrym Maillard
Online Clustering of Processes
Azadeh Khaleghi, Daniil Ryabko, Jeremie Mary et al.
Online Clustering with Experts
Anna Choromanska, Claire Monteleoni
Online Incremental Feature Learning with Denoising Autoencoders
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
Online L1-Dictionary Learning with Application to Novel Document Detection
Shiva P. Kasiviswanathan, Huahua Wang, Arindam Banerjee et al.
Online Learning in the Embedded Manifold of Low-rank Matrices
Uri Shalit, Daphna Weinshall, Gal Chechik
Online Optimization with Gradual Variations
Chao-Kai Chiang, Tianbao Yang, Chia-Jung Lee et al.
Online Rank Aggregation
Shota Yasutake, Kohei Hatano, Eiji Takimoto et al.
Online Regret Bounds for Undiscounted Continuous Reinforcement Learning
Ronald Ortner, Daniil Ryabko
On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization
Andre Barreto, Doina Precup, Joelle Pineau
Online Submodular Minimization
Elad Hazan, Satyen Kale
Online Sum-Product Computation Over Trees
Mark Herbster, Stephen Pasteris, Fabio Vitale
Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits
Yasin Abbasi-Yadkori, David Pal, Csaba Szepesvari
On Multilabel Classification and Ranking with Partial Feedback
Claudio Gentile, Francesco Orabona
On Nonparametric Guidance for Learning Autoencoder Representations
Jasper Snoek, Ryan Adams, Hugo Larochelle
On Ranking and Generalization Bounds
Wojciech Rejchel
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
David Buchman, Mark Schmidt, Shakir Mohamed et al.
On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference
Konrad Rawlik, Marc Toussaint, Sethu Vijayakumar
On the connections between saliency and tracking
Vijay Mahadevan, Nuno Vasconcelos
On the Convergence Rate of -Norm Multiple Kernel Learning
Marius Kloft, Gilles Blanchard
On the Necessity of Irrelevant Variables
David P. Helmbold, Philip M. Long
On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking
Clément Calauzènes, Nicolas Usunier, Patrick Gallinari
On the Sample Complexity of Robust PCA
Matthew Coudron, Gilad Lerman
On the Structure of Nonlinearities in Pose Graph SLAM
Heng Wang, Gibson Hu, Shoudong Huang et al.