Papers
173,579 papers found
On the Analysis of Multi-Channel Neural Spike Data
Bo Chen, David E. Carlson, Lawrence Carin
On the Consistency of Multi-Label Learning
Wei Gao, Zhi-Hua Zhou
On the Estimation of $\alpha$-Divergences
Barnabas Poczos, Jeff Schneider
On the Universality of Online Mirror Descent
Nati Srebro, Karthik Sridharan, Ambuj Tewari
On Time Varying Undirected Graphs
Mladen Kolar, Eric P. Xing
On Tracking The Partition Function
Guillaume Desjardins, Yoshua Bengio, Aaron C. Courville
On U-processes and clustering performance
Stéphan J. Clémençcon
Operational Space Control of Constrained and Underactuated Systems
Michael Mistry, Ludovic Righetti
Operator Norm Convergence of Spectral Clustering on Level Sets
Bruno Pelletier, Pierre Pudlo
Optimal aggregation of affine estimators
Joseph Salmon, Arnak Dalalyan
Optimal and Robust Price Experimentation: Learning by Lottery
Christopher Dance, Onno Zoeter
Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources
Sue Ann Hong, Geoffrey Gordon
Optimal learning rates for least squares SVMs using Gaussian kernels
Mona Eberts, Ingo Steinwart
Optimal Reinforcement Learning for Gaussian Systems
Philipp Hennig
Oracle inequalities for computationally budgeted model selection
Alekh Agarwal, John C. Duchi, Peter L. Bartlett et al.
Orthogonal Matching Pursuit with Replacement
Prateek Jain, Ambuj Tewari, Inderjit S. Dhillon
PAC-Bayesian Analysis of Contextual Bandits
Yevgeny Seldin, Peter Auer, John S. Shawe-taylor et al.
Parallel Algorithm for Learning Optimal Bayesian Network Structure
Yoshinori Tamada, Seiya Imoto, Satoru Miyano
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees
Joseph Gonzalez, Yucheng Low, Arthur Gretton et al.
Parameter Screening and Optimisation for ILP using Designed Experiments
Ashwin Srinivasan, Ganesh Ramakrishnan
Penalty Decomposition Methods for Rank Minimization
Yong Zhang, Zhaosong Lu
Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning
Joni K. Pajarinen, Jaakko Peltonen