Papers
On Learning Discrete Graphical Models using Group-Sparse Regularization
Ali Jalali, Pradeep Ravikumar, Vishvas Vasuki et al.
Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text
Amr Ahmed, Qirong Ho, Choon Hui Teo et al.
Online Learning: Beyond Regret
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
Online Learning of Multiple Tasks and Their Relationships
Avishek Saha, Piyush Rai, Hal Daumé III et al.
Online Learning of Structured Predictors with Multiple Kernels
Andre Filipe Torres Martins, Noah Smith, Eric Xing et al.
Online Learning: Stochastic, Constrained, and Smoothed Adversaries
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
Online Submodular Set Cover, Ranking, and Repeated Active Learning
Andrew Guillory, Jeff A. Bilmes
Online Variational Inference for the Hierarchical Dirichlet Process
Chong Wang, John Paisley, David M. Blei
On NDCG Consistency of Listwise Ranking Methods
Pradeep Ravikumar, Ambuj Tewari, Eunho Yang
On Strategy Stitching in Large Extensive Form Multiplayer Games
Richard G. Gibson, Duane Szafron
On the accuracy of l1-filtering of signals with block-sparse structure
Fatma K. Karzan, Arkadi S. Nemirovski, Boris T. Polyak et al.
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