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Theory

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Papers

Belief propagation, robust reconstruction and optimal recovery of block models COLT 2014
lil’ UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits COLT 2014
Computational Limits for Matrix Completion COLT 2014
Lower Bounds on the Performance of Polynomial-time Algorithms for Sparse Linear Regression COLT 2014
The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures COLT 2014
Faster and Sample Near-Optimal Algorithms for Proper Learning Mixtures of Gaussians COLT 2014
On Projective Reconstruction In Arbitrary Dimensions CVPR 2014
Accurate Localization and Pose Estimation for Large 3D Models CVPR 2014
Bregman Divergences for Infinite Dimensional Covariance Matrices CVPR 2014
Persistence-based Structural Recognition CVPR 2014
Latent Bandits. ICML 2014
On Measure Concentration of Random Maximum A-Posteriori Perturbations ICML 2014
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning ICML 2014
Asymptotically consistent estimation of the number of change points in highly dependent time series ICML 2014
Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting ICML 2014
A Unifying View of Representer Theorems ICML 2014
Online Clustering of Bandits ICML 2014
Approximate Policy Iteration Schemes: A Comparison ICML 2014
Nonnegative Sparse PCA with Provable Guarantees ICML 2014
Universal Matrix Completion ICML 2014
Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife JMLR 2014
A Tensor Approach to Learning Mixed Membership Community Models JMLR 2014
Spectral Learning of Latent-Variable PCFGs: Algorithms and Sample Complexity JMLR 2014
High-Dimensional Learning of Linear Causal Networks via Inverse Covariance Estimation JMLR 2014
New Results for Random Walk Learning JMLR 2014